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")