first commit

.Rhistory

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+library(tidyverse)
+library(RCurl)
+library(lubridate)
+url <- 'ftp://ftp.ngdc.noaa.gov/STP/space-weather/satellite-data/satellite-systems/gps/data/ns41/'
+filename <- getURL(url, dirlistonly = TRUE)
+filename
+destnames <- strsplit(filename, "\r*\n")[[1]]
+destnames
+ns41$date <- as.Date(str_sub(destnames, start=6, end=11), "%y%m%d")
+tbl_df(ns41) = NULL
+ns41 = NULL
+ns41 <- tbl_df(ns41)
+ns41$date <- as.Date(str_sub(destnames, start=6, end=11), "%y%m%d")
+as.Date(str_sub(destnames[1], start=6, end=11), "%y%m%d")
+as.Date(str_sub(destnames[1], start=6, end=11), "%y%m%d") %>% year()
+year <- as.Date(str_sub(destnames[1], start=6, end=11), "%y%m%d") %>% year()
+year
+?rbind
+l <- length(destnames)
+data <- NULL
+i <- NULL
+for (i in 1:2) {
+data <- read.table(file = paste(url, destnames[i], sep=""))
+rbind(ns41, data)
+}
+View(data)
+destnames[1]
+for (i in 1:2) {
+data <- read.table(file = paste(url, destnames[i], sep=""))
+ns41 <- rbind(ns41, data)
+}
+data <- NULL
+i <- NULL
+for (i in 1:2) {
+data <- read.table(file = paste(url, destnames[i], sep=""))
+ns41 <- rbind(ns41, data)
+}
+View(ns41)
+date <- as.Date(str_sub(destnames[1], start=6, end=11), "%y%m%d")
+library(tidyverse)
+library(RCurl)
+library(lubridate)
+date <- as.Date(str_sub(destnames[1], start=6, end=11), "%y%m%d")
+remove(date)
+remove(year)
+Date <- as.Date(str_sub(destnames[1], start=6, end=11), "%y%m%d")
+ns41$Date <- as.Date(str_sub(destnames[1], start=6, end=11), "%y%m%d")
+View(ns41)
+ns41$Date
+url <- 'ftp://ftp.ngdc.noaa.gov/STP/space-weather/satellite-data/satellite-systems/gps/data/ns41/'
+filename <- getURL(url, dirlistonly = TRUE)
+destnames <- strsplit(filename, "\r*\n")[[1]]
+ns41 = NULL
+ns41 <- tbl_df(ns41)
+l <- length(destnames)
+data <- NULL
+i <- NULL
+for (i in 1:2) {
+data <- read.table(file = paste(url, destnames[i], sep=""))
+data$Date <- as.Date(str_sub(destnames[1], start=6, end=11), "%y%m%d")
+ns41 <- rbind(ns41, data)
+}
+unique(ns41$Date)
+ns41 = NULL
+ns41 <- tbl_df(ns41)
+for (i in 1:2) {
+data <- read.table(file = paste(url, destnames[i], sep=""))
+data$Date <- as.Date(str_sub(destnames[i], start=6, end=11), "%y%m%d")
+ns41 <- rbind(ns41, data)
+}
+unique(ns41$Date)
+data <- NULL
+i <- NULL
+ns41 = NULL
+ns41 <- tbl_df(ns41)
+paste(destnames[i], "complete\n")
+paste(destnames[i], "complete", \n)
+paste(destnames[i], "complete", /n)
+paste(destnames[i], "complete/n")
+for (i in 1:l) {
+data <- read.table(file = paste(url, destnames[i], sep=""))
+data$Date <- as.Date(str_sub(destnames[i], start=6, end=11), "%y%m%d")
+ns41 <- rbind(ns41, data)
+paste(destnames[i], "complete")
+}
+ns41 = NULL
+ns41 <- tbl_df(ns41)
+l <- length(destnames)
+data <- NULL
+i <- NULL
+for (i in 1:l) {
+data <- read.table(file = paste(url, destnames[i], sep=""))
+data$Date <- as.Date(str_sub(destnames[i], start=6, end=11), "%y%m%d")
+ns41 <- rbind(ns41, data)
+print(paste(destnames[i], "complete"))
+}
+n_distinct(ns41$Date)
+write_csv(ns41)
+write_csv(ns41, path="C:\Users\mdcay\Documents\Happy Dad")
+write_csv(ns41, path="C:\Users\mdcay\Documents\Happy Dad\ns41.csv")
+write_csv(ns41, path="\Users\mdcay\Documents\Happy Dad\ns41.csv")
+write_csv(ns41, path="/Users/mdcay/Documents/Happy Dad/ns41.csv")
+data %>% group_by(data$Date)
+data %>% group_by(data$Date) %>% select(data$V81:data$V99)
+data %>% group_by(data$Date) %>% select(data$V81:data$V99)
+data %>% group_by(data$Date) %>% select("V81":"V99")
+data %>% group_by(data$Date) %>% select(V81:V99)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=sum())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=sum(V81:V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=sum(data$V81:data$V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums(data$V81:data$V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums(V81:V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums(data$V81))
+colSums(data$V81)
+colSums(data)
+?colSums
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=sum(V81:V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=sum(is.numeric(V81:V99)))
+?aggregate
+aggregate(data, by="Date", sum())
+aggregate(data, by="Date", FUN="sum")
+aggregate(data, by=data$Date, FUN="sum")
+?cumsum
+?colSums
+aggregate(data, by=list(Category=data$Date), FUN=sum)
+View(data)
+?summarise
+sum(data$V81)
+sum(data$V81:data$V99)
+sum(data$V81:$V99)
+sum(c(data$V81:data$V99))
+sum(data$V81:data$V99)
+colSums(data$V81:data$V99)
+colSums(data)
+?summarise_at
+?summarise_at(data$V81:data$V99)
+summarise_at(data$V81:data$V99)
+summarise_at(vars(data$V81:data$V99))
+summarise_at(vars(data$V81:data$V99), sum=sum())
+summarise_at(data, vars(V81:V99), sum=sum())
+summarise_at(data, vars(V81:V99), sum())
+starwars %>% summarise_at(vars(height:mass), mean, na.rm=T)
+data %>% summarise_at(vars(V81:V99), mean, na.rm=T)
+data %>% summarise_at(vars(V81:V99), sum, na.rm=T)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), n=n(), sum=sum())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(vars(V81:V99), n=n(), sum=sum())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=sum(V81:V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), colSums())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), colSums(V81:V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), c(V81:V99)=sum(V81:V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), colSums(-Date)
+?summarise
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), colSums(-Date))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums(-Date))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums(-data$Date))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums(data$V81))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=colSums(V81))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sum=sum(V81))
+?aggregate
+aggregate(data, by=list(V81:V99), mean)
+aggregate(data, by=list(data$V81:data$V99), mean)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), c(V81:V99)=sum(V81:V99))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), mean)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), sum)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), n=n())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), n)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), sum)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), funs(n, sum))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), sum=sum)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), sum)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n())
+test <- data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n())
+test <- data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), sum)
+View(test)
+test <- data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n())
+test <- data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n(), sumarise_at(vars(V81:V99)))
+test <- data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise(n=n())
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), sum)
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), funs(n,sum))
+data %>% group_by(data$Date) %>% select(V81:V99) %>% summarise_at(vars(V81:V99), funs(mean,sum))
+data %>% group_by(data$Date) %>% summarise_each(vars(V81:V99), mean)
+data %>% group_by(data$Date) %>% summarise_at(vars(V81:V99), mean)
+data %>% group_by(data$Date) %>% summarise_at(vars(V81:V99), funs(n, mean)
+data %>% group_by(data$Date) %>% summarise_at(vars(V81:V99), funs(n, mean))
+data %>% group_by(data$Date) %>% summarise_at(vars(V81:V99), funs(n, mean))
+data %>% group_by(data$Date) %>% summarise_at(vars(V81:V99), funs(nrow, mean))
+data %>% group_by(data$Date) %>% summarise_at(vars(V81:V99), funs(sum, mean))
+test <- data %>% group_by(data$Date) %>% summarise_at(vars(V81:V99), funs(sum, mean))
+View(test)
+data <- data %>% group_by(Date)
+test <- data %>% summarise_at(vars(V81:V99), sum)
+test
+data %>% mutate(n=n())
+cbind(test, nrow(data))
+cbind(test, n=nrow(data))
+ns41 <- ns41 %>% group_by(Date)
+cbind(ns41_sums, ns41 %>% summarise(n=n()))
+ns41_sums <- ns41 %>% summarise_at(vars(V81:V99), sum)
+cbind(ns41_sums, ns41 %>% summarise(n=n()))
+View(ns41_sums)
+View(ns41)
+ns41 <- ns41 %>% select(V21 = 240)
+ns41 <- ns41 %>% filter(V21 = 240)
+ns41 <- ns41 %>% filter(V21 == 240)
+ns41_sums <- ns41 %>% group_by(ns41$Date) %>% select(V81:V99) %>% summarise(n=n()
+,V81 = sum(V81))
+ns41_sums <- ns41 %>% group_by(ns41$Date) %>% select(V81:V99) %>% summarise(n=n())
+ns41_sums <- ns41 %>% group_by(Date) %>% select(V81:V99) %>% summarise(n=n())
+ns41_sums <- ns41 %>% group_by(ns41$Date) %>% select(V81:V99) %>% summarise(n=n())
+ns41_sums <- ns41 %>% group_by(Date) %>%
+select(V81:V99) %>%
+summarize(n=n())
+ns41_sums <- ns41 %>% group_by(Date) %>%
+select(V81:V99) %>%
+summarize(n=nrow())
+ns41_sums <- ns41 %>% group_by(Date) %>%
+select(V81:V99) %>%
+summarize(n=n())
+ns41_sums <- ns41 %>% group_by(ns41$Date) %>%
+select(V81:V99) %>%
+summarize(n=n())
+ns41_sums <- ns41 %>% group_by(ns41$Date)
+ns41 <- NULL
+ns41_sums <- NULL
+read_csv(ns41.csv)
+ns41 <- read_csv(file="/Users/mdcay/Documents/Happy Dad/ns41.csv")
+ns41 <- tbl_df(ns41)
+ns41 <- ns41 %>% filter(V21 == 240)
+ns41_sums <- ns41 %>% group_by(ns41$Date)
+ns41_sums <- ns41 %>% group_by(ns41$Date) %>%
+select(V81:V99) %>%
+summarise(n=n())
+View(ns41_sums)
+ns41_sums <- ns41 %>% group_by(Date) %>%
+select(Date, V81:V99) %>%
+summarise(n=n(),
+V81=sum(V81))
+View(ns41_sums)
+ns41_sums <- ns41 %>% group_by(Date) %>%
+select(Date, V81:V99) %>%
+summarise(n=n(),
+V81=sum(V81),
+V82=sum(V82),
+V83=sum(V83),
+V84=sum(V84),
+V85=sum(V85),
+V86=sum(V86),
+V87=sum(V87),
+V88=sum(V88),
+V89=sum(V89),
+V90=sum(V90),
+V91=sum(V91),
+V92=sum(V92),
+V93=sum(V93),
+V94=sum(V94),
+V95=sum(V95),
+V96=sum(V96),
+V97=sum(V97),
+V98=sum(V98),
+V99=sum(V99),
+)
+View(ns41_sums)
+View(ns41)
+unique(ns41_sums$n)
+arrange(unique(ns41_sums$n))
+View(ns41$V110)
+(ns41$V110)
+energies <- list(.6, .7, .8, .9, 1, 1.25, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 6, 7, 8, 9, 10)
+energies
+energies <- c(.6, .7, .8, .9, 1, 1.25, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 6, 7, 8, 9, 10)
+energies
+ns41_sums$energies <-energies
+glimpse(ns41)
+write_csv(ns41_sums, path='ns41_sums.csv')
+remove(test, ns41)
+remove(data)

.Rproj.user/CB669F97/pcs/files-pane.pper

@@ -0,0 +1,9 @@
+{
+    "path" : "~/Happy Dad",
+    "sortOrder" : [
+        {
+            "ascending" : true,
+            "columnIndex" : 2
+        }
+    ]
+}

.Rproj.user/CB669F97/pcs/source-pane.pper

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+{
+    "activeTab" : 0
+}

.Rproj.user/CB669F97/pcs/windowlayoutstate.pper

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+{
+    "left" : {
+        "panelheight" : 958,
+        "splitterpos" : 449,
+        "topwindowstate" : "NORMAL",
+        "windowheight" : 996
+    },
+    "right" : {
+        "panelheight" : 958,
+        "splitterpos" : 597,
+        "topwindowstate" : "NORMAL",
+        "windowheight" : 996
+    }
+}

.Rproj.user/CB669F97/pcs/workbench-pane.pper

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+{
+    "TabSet1" : 0,
+    "TabSet2" : 3,
+    "TabZoom" : {
+    }
+}

.Rproj.user/CB669F97/rmd-outputs

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+
+
+
+
+

.Rproj.user/CB669F97/saved_source_markers

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+{"active_set":"","sets":[]}

.Rproj.user/CB669F97/sdb/per/t/6C066758

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+{
+    "collab_server" : "",
+    "contents" : "",
+    "created" : 1545612285435.000,
+    "dirty" : false,
+    "encoding" : "",
+    "folds" : "",
+    "hash" : "0",
+    "id" : "6C066758",
+    "lastKnownWriteTime" : 3419473789575321445,
+    "last_content_update" : 1545612285435,
+    "path" : null,
+    "project_path" : null,
+    "properties" : {
+        "cacheKey" : "FE483DC5",
+        "caption" : "ns41_sums",
+        "contentUrl" : "grid_resource/gridviewer.html?env=&obj=ns41_sums&cache_key=FE483DC5",
+        "displayedObservations" : "803",
+        "environment" : "",
+        "object" : "ns41_sums",
+        "preview" : "0",
+        "totalObservations" : "803",
+        "variables" : "21"
+    },
+    "relative_order" : 2,
+    "source_on_save" : false,
+    "source_window" : "",
+    "type" : "r_dataframe"
+}

.Rproj.user/CB669F97/sdb/prop/331E27DD

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+{
+}

.Rproj.user/CB669F97/sdb/prop/INDEX

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+~%2FHappy%20Dad%2FHD2.R="331E27DD"

.Rproj.user/CB669F97/session-persistent-state

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+virtual-session-id="CE9408E0"

HD.R

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+# Michael Cayton
+# Script to import Happy Dad's Physic files and from them to Fortan readable format.  
+# April 21st, 2016
+
+ns54U140105 <- read.delim2("~/Desktop/ns54U140105.txt", header=FALSE)
+write.fwf(ns54U140105, file="~/Desktop/test.txt", sep =" ", colnames = F, rownames=F, quote=F, width=1, scientific=T)

HD2.R

@@ -0,0 +1,268 @@
+# NS41 Satellite  Data
+# Michael D Cayton
+# December 22, 2018
+# Last update 12-23-18
+
+### sum of col V81 through 99
+### 21 not 240 remove
+# number of rows, sum 
+# midified Bessal function of the second kind. 
+
+#### Load the libraries ###
+
+library(tidyverse)
+library(RCurl)
+library(lubridate)
+
+# Set the url for the ftp site working directory.
+# This is where the origianal data is stored.
+url <- 'ftp://ftp.ngdc.noaa.gov/STP/space-weather/satellite-data/satellite-systems/gps/data/ns41/'
+
+# Create a vector of file names from the directory
+# This will allow us to extract the dates and will be used to create a master file. 
+filename <- getURL(url, dirlistonly = TRUE)
+filename
+
+# Clean up the file list
+destnames <- strsplit(filename, "\r*\n")[[1]]
+destnames
+
+# Create data frame for the data.
+ns41 = NULL
+ns41 <- tbl_df(ns41)
+
+# For loop to access each file, combine into one dataframe, and add a column for the filename date
+l <- length(destnames)
+data <- NULL
+i <- NULL
+
+for (i in 1:l) {
+  data <- read.table(file = paste(url, destnames[i], sep=""))
+  data$Date <- as.Date(str_sub(destnames[i], start=6, end=11), "%y%m%d")
+  ns41 <- rbind(ns41, data)
+  print(paste(i, "of", l, "complete"))
+}
+
+# Save table.    
+write_csv(ns41, path="/Users/mdcay/Documents/Happy Dad/ns41.csv")
+
+#Import raw data as needed.  
+ns41 <- read_csv(file="/Users/mdcay/Documents/Happy Dad/ns41.csv")
+ns41 <- tbl_df(ns41)
+
+# Select for V21 = 240
+ns41 <- ns41 %>% filter(V21 == 240)
+# Create table, grouped by unique week, and sum of V81 through V99
+ns41_sums <- ns41 %>% group_by(Date) %>%
+  select(Date,V25, V82:V100) %>%
+  summarise(n=n(),
+            V24=sum(V25),
+            V81=sum(V82),
+            V82=sum(V83),
+            V83=sum(V84),
+            V84=sum(V85),
+            V85=sum(V86),
+            V86=sum(V87),
+            V87=sum(V88),
+            V88=sum(V89),
+            V89=sum(V90),
+            V90=sum(V91),
+            V91=sum(V92),
+            V92=sum(V93),
+            V93=sum(V94),
+            V94=sum(V95),
+            V95=sum(V96),
+            V96=sum(V97),
+            V97=sum(V98),
+            V98=sum(V99),
+            V99=sum(V100)
+            )
+
+write_csv(ns41_sums, path='ns41_sums.csv')
+ns41_sums <- read_csv(file="/Users/mcayton/Documents/Happy Dad/ns41_sums.csv")
+# Create a list of the energy levels.  These can be found in V100 through V130. 
+energies <- c(.6, .7, .8, .9, 1, 1.25, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 6, 7, 8, 9, 10)
+
+# Use Modified Bessel function of the second kind.  Each V81-V99 row is an interval and go with the energy list.  
+x <- ns41_sums %>% select(-Date, -n) 
+nu <- as.numeric(x[1,])
+bessel <- besselK(nu, energies)
+
+bessel
+
+ggplot() +
+  geom_line(aes(nu, energies))
+
+### sum of col V81 through 99
+### 21 not 240 remove
+# number of rows, sum 
+# midified Bessal function of the second kind. ### sum of col V81 through 99
+### 21 not 240 remove
+# number of rows, sum 
+
+### JSON with table info ###
+# test <- fromJSON('{
+#      "decimal_day": { "DESCRIPTION":"Decimal Day of year",
+#                    "DIMENSION": [1],
+#                    "UNITS": "days",
+#                    "START_COLUMN": 0
+#      },
+#   
+#                 "Geographic_Latitude": { "DESCRIPTION":"Geographic_Latitude",
+#                    "DIMENSION": [1],
+#                    "UNITS": "degrees",
+#                    "START_COLUMN": 1
+#                 },
+#                 "Geographic_Longitude": { "DESCRIPTION":"Geographic_Longitude",
+#                    "DIMENSION": [1],
+#                    "UNITS": "degrees",
+#                    "START_COLUMN": 2
+#                 },
+#                 "Rad_Re": { "DESCRIPTION":"Radius (earth radii)",
+#                    "DIMENSION": [1],
+#                    "UNITS": "R_E",
+#                    "START_COLUMN": 3
+#                 },
+#                 "rate_electron_measured": { "DESCRIPTION":"rate_electron_measured",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 4
+#                 },
+#                 "rate_proton_measured": { "DESCRIPTION":"rate_proton_measured",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 12
+#                 },
+#                 "collection_interval": { "DESCRIPTION":"collection_interval",
+#                    "DIMENSION": [1],
+#                    "UNITS": "seconds",
+#                    "START_COLUMN": 20
+#                 },
+#                 "year": { "DESCRIPTION":"year eg 2015",
+#                    "DIMENSION": [1],
+#                    "UNITS": "years",
+#                    "START_COLUMN": 21
+#                 },
+#                 "decimal_year": { "DESCRIPTION":"decimal_year contains fractional part of year",
+#                    "DIMENSION": [1],
+#                    "UNITS": "years",
+#                    "START_COLUMN": 22
+#                 },
+#                 "svn_number": { "DESCRIPTION":"SVN number",
+#                    "DIMENSION": [1],
+#                    "UNITS": "none",
+#                    "START_COLUMN": 23
+#                 },
+#                 "dropped_data": { "DESCRIPTION":"dropped_data=1 means ignore data",
+#                    "DIMENSION": [1],
+#                    "UNITS": "none",
+#                    "START_COLUMN": 24
+#                 },
+#                 "b_coord_radius": { "DESCRIPTION":"radius from earths dipole axis",
+#                    "DIMENSION": [1],
+#                    "UNITS": "R_E",
+#                    "START_COLUMN": 25
+#                 },
+#                 "b_coord_height": { "DESCRIPTION":"height above earths equatorial plane",
+#                    "DIMENSION": [1],
+#                    "UNITS": "R_E",
+#                    "START_COLUMN": 26
+#                 },
+#                 "magnetic_longitude": { "DESCRIPTION":"magnetic longitude",
+#                    "DIMENSION": [1],
+#                    "UNITS": "degrees",
+#                    "START_COLUMN": 27
+#                 },
+#                 "L_shell": { "DESCRIPTION":"L shell, dipole file, T89",
+#                    "DIMENSION": [1],
+#                    "UNITS": "R_E",
+#                    "START_COLUMN": 28
+#                 },
+#                 "bfield_ratio": { "DESCRIPTION":"Bsatellite/Bequator",
+#                    "DIMENSION": [1],
+#                    "UNITS": "none",
+#                    "START_COLUMN": 29
+#                 },
+#                 "local_time": { "DESCRIPTION":"Magnetic local time",
+#                    "DIMENSION": [1],
+#                    "UNITS": "h",
+#                    "START_COLUMN": 30
+#                 },
+#                 "b_sattelite": { "DESCRIPTION":" field at satellite",
+#                    "DIMENSION": [1],
+#                    "UNITS": "gauss",
+#                    "START_COLUMN": 31
+#                 },
+#                 "b_equator": { "DESCRIPTION":"B field at equator",
+#                    "DIMENSION": [1],
+#                    "UNITS": "gauss",
+#                    "START_COLUMN": 32
+#                 },
+#                 "diffp": { "DESCRIPTION":"not sure what this is",
+#                    "DIMENSION": [1],
+#                    "UNITS": "gauss",
+#                    "START_COLUMN": 33
+#                 },
+#                 "sigmap": { "DESCRIPTION":"not sure what this is",
+#                    "DIMENSION": [1],
+#                    "UNITS": "gauss",
+#                    "START_COLUMN": 34
+#                 },
+#                 "electron_background": { "DESCRIPTION":"electron_background estimated",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 35
+#                 },
+#                 "proton_background": { "DESCRIPTION":"proton_background estimated",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 43
+#                 },
+#                 "proton_activity": { "DESCRIPTION":"proton_activity=1 if proton activity is occurring",
+#                    "DIMENSION": [1],
+#                    "UNITS": "none",
+#                    "START_COLUMN": 51
+#                 },
+#                 "electron_temperature_fit": { "DESCRIPTION":"electron temperature from Maxwellian fit",
+#                    "DIMENSION": [1],
+#                    "UNITS": "MeV",
+#                    "START_COLUMN": 52
+#                 },
+#                 "electron_density_fit": { "DESCRIPTION":"electron number density fit",
+#                    "DIMENSION": [1],
+#                    "UNITS": "cm^-3",
+#                    "START_COLUMN": 53
+#                 },
+#                 "model_counts_electron_fit": { "DESCRIPTION":"E1-E8 rates from Maxwellian fit",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 54
+#                 },
+#                 "dtc_counts_electron": { "DESCRIPTION":"E1-E8 rates dead time corrected",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 62
+#                 },
+#                 "integral_flux_instrument": { "DESCRIPTION":"integral of electron flux fit above integral_flux_energy[i]",
+#                    "DIMENSION": [30],
+#                    "UNITS": "cm^-2sec^-1sr^-1",
+#                    "START_COLUMN": 70
+#                 },
+#                 "integral_flux_energy": { "DESCRIPTION":"energies for integral_flux_instrument",
+#                    "DIMENSION": [30],
+#                    "UNITS": "MeV",
+#                    "START_COLUMN": 100
+#                 },
+#                 "electron_diff_flux_energy": { "DESCRIPTION":"energies for the fluxes in electron_diff_flux_energy",
+#                    "DIMENSION": [15],
+#                    "UNITS": "MeV",
+#                    "START_COLUMN": 130
+#                 },
+#                 "electron_diff_flux": { "DESCRIPTION":"electron flux at energies electron_diff_flux[i]",
+#                    "DIMENSION": [15],
+#                    "UNITS": "cm^-2sec^-1sr^-1MeV^-1",
+#                    "START_COLUMN": 145
+#                 }
+#            }')
+
+

HD_Flues.R

@@ -0,0 +1,27 @@
+# Combine Flues Data into one file
+# Michael D Cayton
+# December 7th, 2022
+
+#### Load the libraries ###
+
+library("tidyverse")                                    # Load dplyr package
+library("plyr")                                     # Load plyr package
+library("readr")                                    # Load readr package
+
+# Set the url for the ftp site working directory.
+# This is where the origianal data is stored.
+url <- 'C:/Users/mdcay/Documents/Happy Dad/ns41flues/'
+
+data_all <- list.files(path = url,  # Identify all CSV files
+                       pattern = "*.flue", full.names = TRUE) %>% 
+  lapply(read_delim, delim=' ', col_names = FALSE, show_col_types = FALSE) %>%  # Store all files in list
+  bind_rows                                        # Combine data sets into one data set 
+data_all                                            # Print data to RStudio console
+
+test <- NULL
+test <- cbind(test, sapply(data_all[3:21], sprintf, fmt = "%.4e"))
+df <- NULL
+df <- cbind(data_all[1:2], test)
+
+# Save table.    
+write_delim(df, file="/Users/mdcay/Documents/Happy Dad/ns41flues/ns41gwk_combined.flue", delim= '\s\s', col_names = FALSE)

HD_filter_ns41.R

@@ -0,0 +1,242 @@
+## Filter NS41 Data
+## Michael D. Cayton
+## March 6th, 2020
+
+
+# Libraries 
+
+library(tidyverse)
+library(lubridate)
+
+# Create Function to calculate decimal day with year to six signigicant digits.  
+
+decimal_day <- function(year, day){
+  if_else (leap_year(year), n<-366, n<-365)
+  decmial_day <- format(year + ((day-1)/n), nsmall=6)
+  print(decmial_day)
+}
+
+# Import NS41 file data
+
+ns41 <- read_csv(file="/Users/mdcay/Documents/Happy Dad/ns41.csv")
+
+# Put into tibble
+ns41 <- tbl_df(ns41)
+
+# Select rows that are needed to filter
+data <- ns41 %>% select(V1,V5:V20, V22, V23, V25, V29)
+
+# Filter based on parameters.
+data <- data %>% filter(V5 > 0.33,
+                        V6 > 0.33,
+                        V7 > 0.33,
+                        V8 > 0.33,
+                        V9 > 0.33,
+                        V10 > 0.33,
+                        V11 > 0.33,
+                        V12 > 0.33,
+                        V13 > 0.033,
+                        V14 > 0.033,
+                        V15 > 0.033,
+                        V16 > 0.033,
+                        V17 > 0.033,
+                        V18 > 0.033,
+                        V19 > 0.033,
+                        V20 > 0.033,
+                        V25 == 0,
+                        V29 > 20,
+                        V29 < 25.2)
+
+
+# Format data into proper form for Fortran and select only the needed rows.  
+
+data <- data %>% mutate(decimal_date=decimal_day(V22, V1))
+
+x <- data %>% select(V5:V20) %>% format.data.frame(digits=4, nsmall=3, width=10)
+
+d <- data %>% transmute(decimal_date = data$decimal_date) %>% format.data.frame(digits=11, nsmall=6, width=11)
+
+x <- cbind(x,d)
+
+
+
+
+# Write file to CSV file. 
+write_csv(x, path='C:/Users/mdcay/Documents/Happy Dad/ns41_filter.csv')
+
+
+###########################################################################
+
+### Information about the data file ###
+
+### sum of col V81 through 99
+### 21 not 240 remove
+# number of rows, sum 
+# midified Bessal function of the second kind. ### sum of col V81 through 99
+### 21 not 240 remove
+# number of rows, sum 
+
+### JSON with table info ###
+# test <- fromJSON('{
+#      "decimal_day": { "DESCRIPTION":"Decimal Day of year",
+#                    "DIMENSION": [1],
+#                    "UNITS": "days",
+#                    "START_COLUMN": 0
+#      },
+#   
+#                 "Geographic_Latitude": { "DESCRIPTION":"Geographic_Latitude",
+#                    "DIMENSION": [1],
+#                    "UNITS": "degrees",
+#                    "START_COLUMN": 1
+#                 },
+#                 "Geographic_Longitude": { "DESCRIPTION":"Geographic_Longitude",
+#                    "DIMENSION": [1],
+#                    "UNITS": "degrees",
+#                    "START_COLUMN": 2
+#                 },
+#                 "Rad_Re": { "DESCRIPTION":"Radius (earth radii)",
+#                    "DIMENSION": [1],
+#                    "UNITS": "R_E",
+#                    "START_COLUMN": 3
+#                 },
+#                 "rate_electron_measured": { "DESCRIPTION":"rate_electron_measured",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 4
+#                 },
+#                 "rate_proton_measured": { "DESCRIPTION":"rate_proton_measured",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 12
+#                 },
+#                 "collection_interval": { "DESCRIPTION":"collection_interval",
+#                    "DIMENSION": [1],
+#                    "UNITS": "seconds",
+#                    "START_COLUMN": 20
+#                 },
+#                 "year": { "DESCRIPTION":"year eg 2015",
+#                    "DIMENSION": [1],
+#                    "UNITS": "years",
+#                    "START_COLUMN": 21
+#                 },
+#                 "decimal_year": { "DESCRIPTION":"decimal_year contains fractional part of year",
+#                    "DIMENSION": [1],
+#                    "UNITS": "years",
+#                    "START_COLUMN": 22
+#                 },
+#                 "svn_number": { "DESCRIPTION":"SVN number",
+#                    "DIMENSION": [1],
+#                    "UNITS": "none",
+#                    "START_COLUMN": 23
+#                 },
+#                 "dropped_data": { "DESCRIPTION":"dropped_data=1 means ignore data",
+#                    "DIMENSION": [1],
+#                    "UNITS": "none",
+#                    "START_COLUMN": 24
+#                 },
+#                 "b_coord_radius": { "DESCRIPTION":"radius from earths dipole axis",
+#                    "DIMENSION": [1],
+#                    "UNITS": "R_E",
+#                    "START_COLUMN": 25
+#                 },
+#                 "b_coord_height": { "DESCRIPTION":"height above earths equatorial plane",
+#                    "DIMENSION": [1],
+#                    "UNITS": "R_E",
+#                    "START_COLUMN": 26
+#                 },
+#                 "magnetic_longitude": { "DESCRIPTION":"magnetic longitude",
+#                    "DIMENSION": [1],
+#                    "UNITS": "degrees",
+#                    "START_COLUMN": 27
+#                 },
+#                 "L_shell": { "DESCRIPTION":"L shell, dipole file, T89",
+#                    "DIMENSION": [1],
+#                    "UNITS": "R_E",
+#                    "START_COLUMN": 28
+#                 },
+#                 "bfield_ratio": { "DESCRIPTION":"Bsatellite/Bequator",
+#                    "DIMENSION": [1],
+#                    "UNITS": "none",
+#                    "START_COLUMN": 29
+#                 },
+#                 "local_time": { "DESCRIPTION":"Magnetic local time",
+#                    "DIMENSION": [1],
+#                    "UNITS": "h",
+#                    "START_COLUMN": 30
+#                 },
+#                 "b_sattelite": { "DESCRIPTION":" field at satellite",
+#                    "DIMENSION": [1],
+#                    "UNITS": "gauss",
+#                    "START_COLUMN": 31
+#                 },
+#                 "b_equator": { "DESCRIPTION":"B field at equator",
+#                    "DIMENSION": [1],
+#                    "UNITS": "gauss",
+#                    "START_COLUMN": 32
+#                 },
+#                 "diffp": { "DESCRIPTION":"not sure what this is",
+#                    "DIMENSION": [1],
+#                    "UNITS": "gauss",
+#                    "START_COLUMN": 33
+#                 },
+#                 "sigmap": { "DESCRIPTION":"not sure what this is",
+#                    "DIMENSION": [1],
+#                    "UNITS": "gauss",
+#                    "START_COLUMN": 34
+#                 },
+#                 "electron_background": { "DESCRIPTION":"electron_background estimated",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 35
+#                 },
+#                 "proton_background": { "DESCRIPTION":"proton_background estimated",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 43
+#                 },
+#                 "proton_activity": { "DESCRIPTION":"proton_activity=1 if proton activity is occurring",
+#                    "DIMENSION": [1],
+#                    "UNITS": "none",
+#                    "START_COLUMN": 51
+#                 },
+#                 "electron_temperature_fit": { "DESCRIPTION":"electron temperature from Maxwellian fit",
+#                    "DIMENSION": [1],
+#                    "UNITS": "MeV",
+#                    "START_COLUMN": 52
+#                 },
+#                 "electron_density_fit": { "DESCRIPTION":"electron number density fit",
+#                    "DIMENSION": [1],
+#                    "UNITS": "cm^-3",
+#                    "START_COLUMN": 53
+#                 },
+#                 "model_counts_electron_fit": { "DESCRIPTION":"E1-E8 rates from Maxwellian fit",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 54
+#                 },
+#                 "dtc_counts_electron": { "DESCRIPTION":"E1-E8 rates dead time corrected",
+#                    "DIMENSION": [8],
+#                    "UNITS": "hertz",
+#                    "START_COLUMN": 62
+#                 },
+#                 "integral_flux_instrument": { "DESCRIPTION":"integral of electron flux fit above integral_flux_energy[i]",
+#                    "DIMENSION": [30],
+#                    "UNITS": "cm^-2sec^-1sr^-1",
+#                    "START_COLUMN": 70
+#                 },
+#                 "integral_flux_energy": { "DESCRIPTION":"energies for integral_flux_instrument",
+#                    "DIMENSION": [30],
+#                    "UNITS": "MeV",
+#                    "START_COLUMN": 100
+#                 },
+#                 "electron_diff_flux_energy": { "DESCRIPTION":"energies for the fluxes in electron_diff_flux_energy",
+#                    "DIMENSION": [15],
+#                    "UNITS": "MeV",
+#                    "START_COLUMN": 130
+#                 },
+#                 "electron_diff_flux": { "DESCRIPTION":"electron flux at energies electron_diff_flux[i]",
+#                    "DIMENSION": [15],
+#                    "UNITS": "cm^-2sec^-1sr^-1MeV^-1",
+#                    "START_COLUMN": 145
+#                 }
+#            }')

HD_ns53.R

@@ -0,0 +1,59 @@
+ # NS53 Satellite  Data
+# Michael D Cayton
+# March 9, 2019
+# Last update 3-19-19
+
+
+#### Load the libraries ###
+library(tidyverse)
+
+ns53_130331_v1.03 <- read_delim('ftp://ftp.ngdc.noaa.gov/STP/space-weather/satellite-data/satellite-systems/gps/data/ns53/ns53_130331_v1.03.ascii'
+           , comment ='#'
+           , delim=' '
+           , col_names = FALSE
+           , trim_ws = TRUE)
+           
+ns53_130331_v1.03 <- tbl_df(ns53_130331_v1.03)
+ns53_130331_v1.03
+
+ns53_HD <- ns53_130331_v1.03 %>% select(3:41)
+ns53_HD <- tbl_df(ns53_HD)
+ns53_HD
+
+## Uncomment if you need to write file 
+# write_csv(ns53_HD, path='Happy Dad/ns53_130331_hd.csv', col_names = FALSE)
+
+# write data matrix to a fixed width format for FORTRAN.  
+
+ns53_test <- sprintf("%.6f", ns53_HD$X3)
+ns53_test <- tbl_df(ns53_test)
+
+ns53_test <- cbind(ns53_test, sapply(ns53_HD[2:4], sprintf, fmt = "%.3f"))
+
+ns53_test <- cbind(ns53_test, sapply(ns53_HD[5:20], sprintf, fmt = "%.3e"))
+
+ns53_test <- cbind(ns53_test, sprintf("%1i", ns53_HD$X23))
+
+ns53_test <- cbind(ns53_test, sprintf("%3i", ns53_HD$X24))
+
+ns53_test <- cbind(ns53_test, sprintf("%4i", ns53_HD$X25))
+
+ns53_test <- cbind(ns53_test, sprintf("%4.8f", ns53_HD$X26))
+
+ns53_test <- cbind(ns53_test, sprintf("%2i", ns53_HD$X27))
+
+ns53_test <- cbind(ns53_test, sprintf("%1i", ns53_HD$X28))
+
+ns53_test <- cbind(ns53_test, sapply(ns53_HD[27:37], sprintf, fmt = "%.4f"))
+
+ns53_test <- cbind(ns53_test, sapply(ns53_HD[38:39], sprintf, fmt = "%.3e"))
+
+write.table(ns53_test, file='Happy Dad/ns53_test.txt', col.names=FALSE, row.names=FALSE, sep=" ", quote=FALSE)
+
+# possible fixed width format
+sprintf("%+010.6f", ns53_HD$X4)
+
+# Possibly to do the FORTRAN evaluations in R.  
+ eigen(cor(ns53_test))
+cor(ns53_test)
+

Happy Dad.Rproj

@@ -0,0 +1,13 @@
+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX

Plots/.Rhistory

@@ -0,0 +1,332 @@
+library(readr)
+ns41nT2019A <- read_table("ns41nT2019A.txt",
+col_types = cols(`293.094583` = col_double()))
+View(ns41nT2019A)
+format(date_decimal(306.0529))
+library(lubridate)
+format(date_decimal(306.0529))
+format(date_decimal(306.0529), %Y/%m/%d)
+format(date_decimal(306.0529), "%Y/%m/%d")
+format(date_decimal(2019.3060529), "%Y/%m/%d")
+format(date_decimal(306.0529), "%m/%d")
+294.0918/365
+format(date_decimal(2019.080573), "%Y/%m/%d")
+format(date_decimal(2019.80573), "%Y/%m/%d")
+294/365
+format(date_decimal(2019.8054795), "%Y/%m/%d")
+295.0890/365
+format(date_decimal(2019.808463), "%Y/%m/%d")
+p<-year(2019)+days(294.0918)
+days(294.0918)
+year(2019)
+ddays(294.0918)
+p<-dyear(2019)+ddays(294.0918)
+p<-dyears(2019)+ddays(294.0918)
+p
+p<-days(294.0918)
+year(2019)
+year(2019, origin=2019)
+as.date(294.0918, origin="2019-01-01")
+as.Date(294.0918, origin="2019-01-01")
+as_datetime(294.0918, origin="2019-01-01")
+as_datetime(ddays(294.0918), origin="2019-01-01")
+library(lubridate)
+library(tidyverse)
+ns41nT2019A <- read_table("ns41nT2019A.txt",
++     col_types = cols(`293.094583` = col_double()))
+ns41nT2019A <- read_table("ns41nT2019A.txt", col_types = cols(`293.094583` = col_double()))
+ns41nT2019A <- read_table("ns41nT2019A.txt")
+ns41nT2019A <- read_table("ns41nT2019A.txt")
+View(ns41nT2019A)
+ns41nT2019A <- read_table("ns41nT2019A.txt",
+col_names = FALSE)
+View(ns41nT2019A)
+A <- read_table("ns41nT2019A.txt",
+col_names = FALSE)
+View(A)
+A <- A>%> rename_all("Date", "Electron Temperature", "Electron Density")
+A <- A %>% rename_all("Date", "Electron Temperature", "Electron Density")
+A <- A %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+sapply(A, as.Date(A[Date], origin="2019-01-01"))
+sapply(A, as.Date(A[Date], origin="2019-01-01"))
+A["Date"]
+sapply(A["Date"], as.Date(A[Date], origin="2019-01-01"))
+lapply(A["Date"], as.Date(A[Date], origin="2019-01-01"))
+lapply(A["Date"], as.Date(A["Date"], origin="2019-01-01"))
+as.Date(A["Date"])
+as.Date(A["Date"], origin="2019-01-01")
+as.Date(A, origin="2019-01-01")
+as.Date(A[0], origin="2019-01-01")
+lapply(A["Date"], as.Date(origin="2019-01-01"))
+lapply(A["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+A["Date"] <- lapply(A["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+View(A)
+A
+ggplot(A, aes(Electron_Temperature, Electron_Density))
+ggplot(A, aes(Electron_Temperature, Electron_Density)) +
+geom_line()
+ggplot(A, aes(A["Date"], Electron_Density)) +
+geom_line()
+ggplot(A, aes(Date, Electron_Density)) +
+geom_line()
+ggplot(A, aes(Date, Electron_Temperature)) +
+geom_line()
+ggplot(A, aes(Date, Electron_Density)) +
+geom_line()
+ggplot(A, aes(Date, Electron_Density)) +
+geom_line() +
+scale_x_log10()
+ggplot(A, aes(Electron_Density, Date)) +
+geom_line() +
+scale_x_log10()
+ggplot(A, aes(Date, Electron_Density)) +
+geom_line() +
+scale_y_log10
+ggplot(A, aes(Date, Electron_Density)) +
+geom_line() +
+scale_y_log10()
+B <- read_table("ns41nT2019B.txt",
+col_names = FALSE)
+C <- read_table("ns41nT2019C.txt",
+col_names = FALSE)
+D <- read_table("ns41nT2019D.txt",
+col_names = FALSE)
+View(B)
+B <- B %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+c <- C %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+D <- D %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+A["Date"] <- lapply(A["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+B["Date"] <- lapply(B["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+C["Date"] <- lapply(C["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+D["Date"] <- lapply(D["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+ggplot() +
+geom_line(A, aes(Date, Electron_Temperature)) +
+geom_line(B, aes(Date, Electron_Temperature))
+ggplot() +
+geom_line(A, aes(Date, Electron_Temperature))
+ggplot() +
+geom_line(A, aes(A, Date, Electron_Temperature), color='red')
+ggplot() +
+geom_line(A, aes(Date, Electron_Temperature), color='red')
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red')
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple')
+View(c)
+View(C)
+A <- read_table("ns41nT2019A.txt",
+col_names = FALSE)
+B <- read_table("ns41nT2019B.txt",
+col_names = FALSE)
+C <- read_table("ns41nT2019C.txt",
+col_names = FALSE)
+D <- read_table("ns41nT2019D.txt",
+col_names = FALSE)
+A <- A %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+B <- B %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+c <- C %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+D <- D %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+A["Date"] <- lapply(A["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+B["Date"] <- lapply(B["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+C["Date"] <- lapply(C["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+D["Date"] <- lapply(D["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+C <- C %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+C["Date"] <- lapply(C["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple')
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_classic()
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw()
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='brown') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='orange') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw(legend.position="right") +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw(legend.position="bottom") +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw(legend.position="bottom") +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw() +
+theme(legend.position="bottom") +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature), color='red') +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature), color='green') +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature), color='blue') +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature), color='purple') +
+theme_bw() +
+guides() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature, colour="A")) +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature, colour="B")) +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature, colour="C")) +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature, colour="D")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green", "C"="blue", "D"="purple"))
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature, colour="A")) +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature, colour="B")) +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature, colour="C")) +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature, colour="D")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green", "C"="blue", "D"="purple")) +
+theme_bw() +
+guides() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature, colour="A")) +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature, colour="B")) +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature, colour="C")) +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature, colour="D")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green", "C"="blue", "D"="purple")) +
+scale_x_date(date_labels = "%b%d%y") +
+theme_bw() +
+guides() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Temperature, colour="A")) +
+geom_line(data=B, aes(x=Date, y=Electron_Temperature, colour="B")) +
+geom_line(data=C, aes(x=Date, y=Electron_Temperature, colour="C")) +
+geom_line(data=D, aes(x=Date, y=Electron_Temperature, colour="D")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green", "C"="blue", "D"="purple")) +
+scale_x_date(date_labels = "%m-%d-%y") +
+theme_bw() +
+guides() +
+ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab("Electron temperature:  MeV")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Density, colour="A")) +
+geom_line(data=B, aes(x=Date, y=Electron_Density, colour="B")) +
+geom_line(data=C, aes(x=Date, y=Electron_Density, colour="C")) +
+geom_line(data=D, aes(x=Date, y=Electron_Density, colour="D")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green", "C"="blue", "D"="purple")) +
+scale_x_date(date_labels = "%m-%d-%y") +
+theme_bw() +
+guides() +
+ggtitle("Electron Density at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab(" Electron density e/cm**3")
+ggplot() +
+geom_line(data=A, aes(x=Date, y=Electron_Density, colour="A")) +
+geom_line(data=B, aes(x=Date, y=Electron_Density, colour="B")) +
+geom_line(data=C, aes(x=Date, y=Electron_Density, colour="C")) +
+geom_line(data=D, aes(x=Date, y=Electron_Density, colour="D")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green", "C"="blue", "D"="purple")) +
+scale_x_date(date_labels = "%m-%d-%y") +
+scale_y_log10() +
+theme_bw() +
+guides() +
+ggtitle("Electron Density at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+ylab(" Electron density e/cm**3")
+library(readr)
+LA_Weather_Data <- read_csv("C:/Users/mdcay/Desktop/LA_Weather_Data.csv")
+View(LA_Weather_Data)
+ggplot() +
+geom_line(data=LA_Weather_Data, aes(x=Date, y=tmax, colour="A")) +
+geom_line(data=LA_Weather_Data, aes(x=Date, y=tmin, colour="B")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green")) +
+scale_x_date(date_labels = "%m-%d-%y") +
+theme_bw() +
+guides() +
+ggtitle("Los Alamos Temperatures")
+library(tidyverse)
+ggplot() +
+geom_line(data=LA_Weather_Data, aes(x=Date, y=tmax, colour="A")) +
+geom_line(data=LA_Weather_Data, aes(x=Date, y=tmin, colour="B")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green")) +
+scale_x_date(date_labels = "%m-%d-%y") +
+theme_bw() +
+guides() +
+ggtitle("Los Alamos Temperatures")
+ggplot() +
+geom_line(data=LA_Weather_Data, aes(x=Date, y=TMAX, colour="A")) +
+geom_line(data=LA_Weather_Data, aes(x=Date, y=TMIN, colour="B")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green")) +
+scale_x_date(date_labels = "%m-%d-%y") +
+theme_bw() +
+guides() +
+ggtitle("Los Alamos Temperatures")
+ggplot() +
+geom_line(data=LA_Weather_Data, aes(x=DATE, y=TMAX, colour="A")) +
+geom_line(data=LA_Weather_Data, aes(x=DATE, y=TMIN, colour="B")) +
+scale_color_manual(name="Group", values=c("A"="red", "B"="green")) +
+scale_x_date(date_labels = "%m-%d-%y") +
+theme_bw() +
+guides() +
+ggtitle("Los Alamos Temperatures")

Plots/.Rproj.user/CB669F97/pcs/files-pane.pper

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+{
+    "sortOrder": [
+        {
+            "columnIndex": 2,
+            "ascending": true
+        }
+    ],
+    "path": "~/Happy Dad/Plots"
+}

Plots/.Rproj.user/CB669F97/pcs/source-pane.pper

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+{
+    "activeTab": 1
+}

Plots/.Rproj.user/CB669F97/pcs/windowlayoutstate.pper

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+{
+    "left": {
+        "splitterpos": 397,
+        "topwindowstate": "NORMAL",
+        "panelheight": 958,
+        "windowheight": 996
+    },
+    "right": {
+        "splitterpos": 597,
+        "topwindowstate": "NORMAL",
+        "panelheight": 958,
+        "windowheight": 996
+    }
+}

Plots/.Rproj.user/CB669F97/pcs/workbench-pane.pper

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+{
+    "TabSet1": 0,
+    "TabSet2": 1,
+    "TabZoom": {}
+}

Plots/.Rproj.user/CB669F97/rmd-outputs

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+
+
+
+
+

Plots/.Rproj.user/CB669F97/saved_source_markers

@@ -0,0 +1 @@
+{"active_set":"","sets":[]}

Plots/NS41 Plots Script.R

@@ -0,0 +1,53 @@
+# NS41 Plots
+# Michael D Cayton
+# August 23, 2023
+# Last update 08-23-2023
+
+library(lubridate)
+library(tidyverse)
+
+A <- read_table("ns41nT2019A.txt", 
+                          col_names = FALSE)
+B <- read_table("ns41nT2019B.txt", 
+                col_names = FALSE)
+C <- read_table("ns41nT2019C.txt", 
+                col_names = FALSE)
+D <- read_table("ns41nT2019D.txt", 
+                col_names = FALSE)
+View(B)
+
+A <- A %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+B <- B %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+C <- C %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+D <- D %>% rename(Date=X1, Electron_Temperature=X2, Electron_Density=X3)
+
+A["Date"] <- lapply(A["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+B["Date"] <- lapply(B["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+C["Date"] <- lapply(C["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+D["Date"] <- lapply(D["Date"], function(x) as.Date(x ,origin="2019-01-01"))
+
+
+ggplot() +
+  geom_line(data=A, aes(x=Date, y=Electron_Temperature, colour="A")) +
+  geom_line(data=B, aes(x=Date, y=Electron_Temperature, colour="B")) +
+  geom_line(data=C, aes(x=Date, y=Electron_Temperature, colour="C")) +
+  geom_line(data=D, aes(x=Date, y=Electron_Temperature, colour="D")) +
+  scale_color_manual(name="Group", values=c("A"="red", "B"="green", "C"="blue", "D"="purple")) +
+  scale_x_date(date_labels = "%m-%d-%y") +
+  theme_bw() +
+  guides() +
+  ggtitle("Electron Temperature at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+  ylab("Electron temperature:  MeV")
+  
+ggplot() +
+  geom_line(data=A, aes(x=Date, y=Electron_Density, colour="A")) +
+  geom_line(data=B, aes(x=Date, y=Electron_Density, colour="B")) +
+  geom_line(data=C, aes(x=Date, y=Electron_Density, colour="C")) +
+  geom_line(data=D, aes(x=Date, y=Electron_Density, colour="D")) +
+  scale_color_manual(name="Group", values=c("A"="red", "B"="green", "C"="blue", "D"="purple")) +
+  scale_x_date(date_labels = "%m-%d-%y") +
+  scale_y_log10() +
+  theme_bw() +
+  guides() +
+  ggtitle("Electron Density at 4 Magnetic-equator Crossings during 20 Oct 2019 through 15 Feb 2020") +
+  ylab(" Electron density e/cm**3")

Plots/Plots.Rproj

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+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: Sweave
+LaTeX: pdfLaTeX

Plots/ns41nT2019A.txt

@@ -0,0 +1,120 @@
+  293.094583  0.4670  5.563E-05
+  294.091806  0.4712  5.529E-05
+  295.089006  0.4785  5.031E-05
+  296.086250  0.4793  4.554E-05
+  297.083472  0.4820  4.539E-05
+  298.077917  0.2045  2.330E-04
+  299.075139  0.2589  2.347E-03
+  300.072361  0.3063  1.689E-03
+  301.072361  0.3555  1.398E-03
+  302.066806  0.3647  1.243E-03
+  303.066806  0.3994  1.693E-03
+  304.061250  0.3912  1.333E-03
+  305.061250  0.4045  1.287E-03
+  306.058472  0.4085  1.149E-03
+  307.055694  0.4146  1.160E-03
+  308.052917  0.4176  1.063E-03
+  309.050139  0.4223  1.053E-03
+  310.047361  0.4220  8.611E-04
+  311.044583  0.4318  7.973E-04
+  312.041806  0.4333  7.119E-04
+  313.039028  0.4356  6.537E-04
+  314.036250  0.4371  5.767E-04
+  315.033472  0.4452  5.880E-04
+  316.030694  0.4499  4.625E-04
+  317.027917  0.4531  3.968E-04
+  318.025139  0.4514  3.520E-04
+  319.022361  0.4633  3.436E-04
+  320.019583  0.4624  4.624E-04
+  321.016806  0.4617  2.772E-04
+  322.014028  0.4719  2.355E-04
+  323.011250  0.4742  2.236E-04
+  324.008472  0.4766  2.093E-04
+  325.005694  0.4735  1.982E-04
+  326.000139  0.4618  1.431E-04
+  326.997361  0.4618  1.199E-04
+  327.994583  0.4703  1.061E-04
+  328.991806  0.4806  9.576E-05
+  329.989028  0.4864  8.770E-05
+  330.986250  0.4942  8.090E-05
+  331.983472  0.4917  7.362E-05
+  332.980694  0.5003  7.227E-05
+  333.977917  0.4869  6.278E-05
+  334.975139  0.4920  6.395E-05
+  335.972361  0.4859  6.699E-05
+  336.969583  0.4881  6.392E-05
+  337.966806  0.4881  6.509E-05
+  338.964028  0.4872  6.174E-05
+  339.961250  0.4872  6.061E-05
+  340.958472  0.4873  5.581E-05
+  341.955694  0.4875  5.341E-05
+  342.952917  0.4861  5.205E-05
+  343.950139  0.4944  4.644E-05
+  344.947361  0.5005  4.374E-05
+  345.944583  0.5027  3.800E-05
+  346.941806  0.5058  3.559E-05
+  347.939028  0.5104  3.382E-05
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Plots/ns41nT2019B.txt

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Plots/ns41nT2019C.txt

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Plots/ns41nT2019D.txt

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ns41flues/ns41gwk1092.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1093.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1094.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1095.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1096.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1097.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1098.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1099.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1100.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1101.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1102.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1103.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1104.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1105.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1106.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1107.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1108.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1109.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1110.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1111.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1112.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1113.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1114.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1115.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1116.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1117.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1118.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1119.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1120.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1121.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1122.flue

@@ -0,0 +1 @@
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ns41flues/ns41gwk1123.flue

@@ -0,0 +1 @@
+1123 28 8.1333e+011 6.4257e+011 5.0384e+011 3.9282e+011 3.0493e+011 1.5983e+011 8.2873e+010 2.2014e+010 5.8355e+009 1.5516e+009 4.1389e+008 1.1065e+008 2.9618e+007 7.9307e+006 5.6816e+005 4.0607e+004 2.8943e+003 2.0579e+002 1.4602e+001

ns41flues/ns41gwk1124.flue

@@ -0,0 +1 @@
+1124 28 1.3043e+012 9.7005e+011 7.1824e+011 5.3033e+011 3.9101e+011 1.8232e+011 8.5480e+010 1.9465e+010 4.7032e+009 1.2023e+009 3.2090e+008 8.8073e+007 2.4557e+007 6.8987e+006 5.4731e+005 4.3212e+004 3.3838e+003 2.6303e+002 2.0331e+001

ns41flues/ns41gwk1125.flue

@@ -0,0 +1 @@
+1125 25 1.0894e+012 8.4503e+011 6.5246e+011 5.0230e+011 3.8600e+011 1.9907e+011 1.0246e+011 2.7040e+010 7.0668e+009 1.8213e+009 4.6258e+008 1.1589e+008 2.8684e+007 7.0252e+006 4.1049e+005 2.3332e+004 1.2994e+003 7.1407e+001 3.9127e+000

ns41flues/ns41gwk1126.flue

@@ -0,0 +1 @@
+1126 28 1.5887e+012 1.2219e+012 9.3267e+011 7.0784e+011 5.3485e+011 2.6191e+011 1.2671e+011 2.9137e+010 6.6338e+009 1.5055e+009 3.4144e+008 7.7447e+007 1.7574e+007 3.9900e+006 2.0598e+005 1.0664e+004 5.5533e+002 2.9313e+001 1.5967e+000

ns41flues/ns41gwk1127.flue

@@ -0,0 +1 @@
+1127 28 7.7474e+011 6.0688e+011 4.7728e+011 3.7632e+011 2.9713e+011 1.6467e+011 9.0823e+010 2.6998e+010 7.7842e+009 2.1862e+009 6.0079e+008 1.6217e+008 4.3136e+007 1.1334e+007 7.6008e+005 4.9497e+004 3.1549e+003 1.9793e+002 1.2272e+001

ns41flues/ns41gwk1128.flue

@@ -0,0 +1 @@
+1128 28 1.2275e+012 8.7821e+011 6.2797e+011 4.4902e+011 3.2108e+011 1.3870e+011 5.9691e+010 1.0872e+010 1.9382e+009 3.4006e+008 5.9011e+007 1.0165e+007 1.7426e+006 2.9774e+005 8.6489e+003 2.5191e+002 7.5699e+000 2.5685e-001 1.1910e-002

ns41flues/ns41gwk1129.flue

@@ -0,0 +1 @@
+1129 28 9.5308e+011 7.4289e+011 5.7483e+011 4.4229e+011 3.3881e+011 1.7158e+011 8.5737e+010 2.0940e+010 5.0379e+009 1.2033e+009 2.8627e+008 6.7943e+007 1.6099e+007 3.8097e+006 2.1269e+005 1.1836e+004 6.5707e+002 3.6416e+001 2.0161e+000

ns41flues/ns41gwk1130.flue

@@ -0,0 +1 @@
+1130 28 8.3078e+011 6.4701e+011 5.0009e+011 3.8435e+011 2.9413e+011 1.4883e+011 7.4574e+010 1.8573e+010 4.6450e+009 1.1722e+009 2.9827e+008 7.6348e+007 1.9619e+007 5.0529e+006 3.3615e+005 2.2375e+004 1.4880e+003 9.8828e+001 6.5557e+000

ns41flues/ns41gwk1131.flue

@@ -0,0 +1 @@
+1131 28 5.3705e+011 4.0380e+011 3.0413e+011 2.2987e+011 1.7455e+011 8.9640e+010 4.7329e+010 1.3855e+010 4.1349e+009 1.2249e+009 3.5752e+008 1.0279e+008 2.9165e+007 8.1832e+006 6.2745e+005 4.6865e+004 3.4357e+003 2.4848e+002 1.7790e+001

ns41flues/ns41gwk1132.flue

@@ -0,0 +1 @@
+1132 28 5.9910e+011 4.4851e+011 3.3360e+011 2.4706e+011 1.8247e+011 8.5124e+010 3.9747e+010 8.8370e+009 2.0238e+009 4.7387e+008 1.1244e+008 2.6855e+007 6.4302e+006 1.5397e+006 8.7899e+004 4.9757e+003 2.7924e+002 1.5551e+001 8.6035e-001

ns41flues/ns41gwk1133.flue

@@ -0,0 +1 @@
+1133 28 1.1234e+012 7.6248e+011 5.1475e+011 3.4653e+011 2.3307e+011 8.6847e+010 3.2891e+010 5.0526e+009 8.5229e+008 1.5648e+008 3.1036e+007 6.6101e+006 1.5006e+006 3.5995e+005 2.3757e+004 1.8578e+003 1.7414e+002 1.9373e+001 2.4341e+000

ns41flues/ns41gwk1134.flue

@@ -0,0 +1 @@
+1134 28 3.9987e+012 3.1942e+012 2.5313e+012 1.9937e+012 1.5628e+012 8.3781e+011 4.4338e+011 1.2208e+011 3.3384e+010 9.1204e+009 2.4899e+009 6.7846e+008 1.8430e+008 4.9876e+007 3.6076e+006 2.5677e+005 1.8019e+004 1.2498e+003 8.5913e+001

ns41flues/ns41gwk1135.flue

@@ -0,0 +1 @@
+1135 28 2.5279e+012 2.0276e+012 1.6185e+012 1.2875e+012 1.0216e+012 5.6825e+011 3.1329e+011 9.3190e+010 2.7025e+010 7.6707e+009 2.1394e+009 5.8833e+008 1.5993e+008 4.3067e+007 3.0538e+006 2.1168e+005 1.4428e+004 9.7111e+002 6.4730e+001

ns41flues/ns41gwk1136.flue

@@ -0,0 +1 @@
+1136 28 2.1169e+012 1.6637e+012 1.2956e+012 1.0016e+012 7.6988e+011 3.9143e+011 1.9546e+011 4.7314e+010 1.1226e+010 2.6379e+009 6.1639e+008 1.4347e+008 3.3286e+007 7.7004e+006 4.0878e+005 2.1479e+004 1.1181e+003 5.7736e+001 2.9636e+000

ns41flues/ns41gwk1137.flue

@@ -0,0 +1 @@
+1137 24 1.7284e+012 1.3024e+012 9.7202e+011 7.2007e+011 5.3026e+011 2.4212e+011 1.0858e+011 2.1287e+010 4.1490e+009 8.2150e+008 1.6745e+008 3.5363e+007 7.7396e+006 1.7477e+006 9.5241e+004 5.4370e+003 3.1479e+002 1.8219e+001 1.0500e+000

ns41flues/ns41gwk1138.flue

@@ -0,0 +1 @@
+1138 28 2.2188e+012 1.6576e+012 1.2262e+012 9.0015e+011 6.5692e+011 2.9354e+011 1.2913e+011 2.4530e+010 4.6449e+009 8.8433e+008 1.6937e+008 3.2571e+007 6.2769e+006 1.2103e+006 4.4914e+004 1.6587e+003 6.0936e+001 2.2289e+000 8.1264e-002

ns41flues/ns41gwk1139.flue

@@ -0,0 +1 @@
+1139 28 2.7434e+012 2.1670e+012 1.6983e+012 1.3227e+012 1.0248e+012 5.3236e+011 2.7179e+011 6.8691e+010 1.6986e+010 4.1643e+009 1.0204e+009 2.5151e+008 6.2764e+007 1.5965e+007 1.1265e+006 9.2968e+004 9.0939e+003 1.0198e+003 1.2473e+002

ns41flues/ns41gwk1140.flue

@@ -0,0 +1 @@
+1140 28 2.1046e+012 1.7720e+012 1.4780e+012 1.2231e+012 1.0054e+012 6.0118e+011 3.4996e+011 1.1201e+011 3.4003e+010 9.9502e+009 2.8341e+009 7.9068e+008 2.1700e+008 5.8771e+007 4.1796e+006 2.8815e+005 1.9422e+004 1.2870e+003 8.4188e+001

ns41flues/ns41gwk1141.flue

@@ -0,0 +1 @@
+1141 28 1.1121e+012 8.7714e+011 6.8889e+011 5.3927e+011 4.2104e+011 2.2486e+011 1.1904e+011 3.2834e+010 8.9353e+009 2.4088e+009 6.4434e+008 1.7115e+008 4.5169e+007 1.1851e+007 8.0285e+005 5.3404e+004 3.4981e+003 2.2620e+002 1.4471e+001

ns41flues/ns41gwk1142.flue

@@ -0,0 +1 @@
+1142 28 9.9462e+011 6.6646e+011 4.4271e+011 2.9224e+011 1.9202e+011 6.6332e+010 2.2682e+010 2.6263e+009 3.0407e+008 3.5374e+007 4.1444e+006 4.9225e+005 6.0626e+004 8.2526e+003 3.3097e+002 3.5258e+001 4.7119e+000 6.3516e-001 8.4468e-002

ns41flues/ns41gwk1143.flue

@@ -0,0 +1 @@
+1143 28 5.1082e+011 3.7890e+011 2.7896e+011 2.0423e+011 1.4888e+011 6.6680e+010 2.9526e+010 5.7091e+009 1.1036e+009 2.1580e+008 4.2917e+007 8.6913e+006 1.7900e+006 3.7394e+005 1.6838e+004 7.7784e+002 3.6387e+001 1.7113e+000 8.0625e-002

ns41flues/ns41gwk1144.flue

@@ -0,0 +1 @@
+1144 28 3.5731e+011 2.5813e+011 1.8619e+011 1.3437e+011 9.7178e+010 4.3860e+010 2.0298e+010 4.6682e+009 1.1496e+009 2.9360e+008 7.6114e+007 1.9796e+007 5.1367e+006 1.3266e+006 8.7036e+004 5.5955e+003 3.5382e+002 2.2088e+001 1.3659e+000

ns41flues/ns41gwk1145.flue

@@ -0,0 +1 @@
+1145 28 5.0175e+011 3.5543e+011 2.5012e+011 1.7526e+011 1.2249e+011 4.9818e+010 2.0308e+010 3.4594e+009 6.1577e+008 1.1505e+008 2.2575e+007 4.6404e+006 9.9373e+005 2.2019e+005 1.1657e+004 6.5896e+002 3.8747e+001 2.3393e+000 1.4433e-001

ns41flues/ns41gwk1146.flue

@@ -0,0 +1 @@
+1146 28 1.5246e+012 1.1139e+012 8.0917e+011 5.8579e+011 4.2331e+011 1.8776e+011 8.3805e+010 1.7212e+010 3.6673e+009 8.0128e+008 1.7801e+008 4.0030e+007 9.0973e+006 2.0892e+006 1.1408e+005 6.5783e+003 4.0396e+002 2.6479e+001 1.8437e+000

ns41flues/ns41gwk1147.flue

@@ -0,0 +1 @@
+1147 28 8.5004e+011 6.4312e+011 4.8256e+011 3.5984e+011 2.6708e+011 1.2505e+011 5.7920e+010 1.2298e+010 2.6170e+009 5.6170e+008 1.2170e+008 2.6596e+007 5.8545e+006 1.2964e+006 6.4457e+004 3.2489e+003 1.6547e+002 8.5073e+000 4.4207e-001

ns41flues/ns41gwk1148.flue

@@ -0,0 +1 @@
+1148 28 8.2234e+011 6.1598e+011 4.5987e+011 3.4289e+011 2.5569e+011 1.2345e+011 6.0330e+010 1.4939e+010 3.8246e+009 9.9489e+008 2.6010e+008 6.7957e+007 1.7698e+007 4.5900e+006 3.0479e+005 1.9937e+004 1.2887e+003 8.2556e+001 5.2527e+000

ns41flues/ns41gwk1149.flue

@@ -0,0 +1 @@
+1149 28 2.6492e+012 2.1945e+012 1.8004e+012 1.4653e+012 1.1846e+012 6.7993e+011 3.8048e+011 1.1321e+011 3.2233e+010 8.9230e+009 2.4235e+009 6.4924e+008 1.7215e+008 4.5279e+007 3.0758e+006 2.0517e+005 1.3504e+004 8.7971e+002 5.6853e+001

ns41flues/ns41gwk1150.flue

@@ -0,0 +1 @@
+1150 28 5.4914e+011 4.3469e+011 3.4337e+011 2.7089e+011 2.1352e+011 1.1737e+011 6.4155e+010 1.8782e+010 5.3465e+009 1.4848e+009 4.0408e+008 1.0818e+008 2.8579e+007 7.4686e+006 4.9732e+005 3.2290e+004 2.0584e+003 1.2944e+002 8.0532e+000