legend adding in ggplot with uncertainties










1















I am new R user. I tried to add legend of mean data of df_summary1 and df_summary2 with title "RCP4.5" and "RCP8.5" in my ggplot but fail. Can any one help me on this. Thanks in advance.



ggplot()+
geom_line(data=df_tidy1, aes(x=date, y=Ratio, group=Cell), color="grey") +
geom_line(data=df_tidy2, aes(x=date, y=Ratio, group=Cell), color="grey")+
geom_line(data = df_summary1, aes(x = date, y=mean), color = "red") +
geom_line(data = df_summary2, aes(x = date, y=mean), color = "blue")+
geom_ribbon(data =df_summary1, aes(x= date, ymin=CI_lower, ymax=CI_upper) ,fill="blue", alpha=0.2)+
geom_ribbon(data =df_summary2,aes(x= date, ymin=CI_lower, ymax=CI_upper) ,fill="grey", alpha=0.2)+
xlab("data") + ylab("Average temperature")


Here is the graph
enter image description here



the df_tidy1 look like:



data.frame(stringsAsFactors=FALSE,
date = c("1980-01-01", "1981-01-01", "1982-01-01", "1983-01-01",
"1984-01-01", "1985-01-01"),
Cell = c("Acsess.4.5", "Acsess.4.5", "Acsess.4.5", "Acsess.4.5",
"Acsess.4.5", "Acsess.4.5"),
Ratio = c(29.8715846994536, 29.5917808219178, 29.7479452054795,
30.2602739726027, 29.266393442623, 29.5342465753425)
)


the df_summary look like



 data.frame(
date = c("1980-01-01", "1981-01-01", "1982-01-01", "1983-01-01",
"1984-01-01", "1985-01-01"),
n = c("5", "5", "5", "5", "5", "5"),
mean = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425"),
sd = c("0", "0", "0", "0", "0", "0"),
sem = c("0", "0", "0", "0", "0", "0"),
CI_lower = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425"),
CI_upper = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425")
)









share|improve this question
























  • Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use str(), head() or screenshot)? You can use the reprex and datapasta packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?

    – Tung
    Nov 16 '18 at 4:35











  • yes I already change some but not sure it correct. Thanks for your comment

    – Trang Pham
    Nov 16 '18 at 7:45











  • use bind_rows to combine tidy1 & tidy2 into a single dataframe and then plot with a single call to geom_line.

    – Richard Telford
    Nov 16 '18 at 8:48















1















I am new R user. I tried to add legend of mean data of df_summary1 and df_summary2 with title "RCP4.5" and "RCP8.5" in my ggplot but fail. Can any one help me on this. Thanks in advance.



ggplot()+
geom_line(data=df_tidy1, aes(x=date, y=Ratio, group=Cell), color="grey") +
geom_line(data=df_tidy2, aes(x=date, y=Ratio, group=Cell), color="grey")+
geom_line(data = df_summary1, aes(x = date, y=mean), color = "red") +
geom_line(data = df_summary2, aes(x = date, y=mean), color = "blue")+
geom_ribbon(data =df_summary1, aes(x= date, ymin=CI_lower, ymax=CI_upper) ,fill="blue", alpha=0.2)+
geom_ribbon(data =df_summary2,aes(x= date, ymin=CI_lower, ymax=CI_upper) ,fill="grey", alpha=0.2)+
xlab("data") + ylab("Average temperature")


Here is the graph
enter image description here



the df_tidy1 look like:



data.frame(stringsAsFactors=FALSE,
date = c("1980-01-01", "1981-01-01", "1982-01-01", "1983-01-01",
"1984-01-01", "1985-01-01"),
Cell = c("Acsess.4.5", "Acsess.4.5", "Acsess.4.5", "Acsess.4.5",
"Acsess.4.5", "Acsess.4.5"),
Ratio = c(29.8715846994536, 29.5917808219178, 29.7479452054795,
30.2602739726027, 29.266393442623, 29.5342465753425)
)


the df_summary look like



 data.frame(
date = c("1980-01-01", "1981-01-01", "1982-01-01", "1983-01-01",
"1984-01-01", "1985-01-01"),
n = c("5", "5", "5", "5", "5", "5"),
mean = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425"),
sd = c("0", "0", "0", "0", "0", "0"),
sem = c("0", "0", "0", "0", "0", "0"),
CI_lower = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425"),
CI_upper = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425")
)









share|improve this question
























  • Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use str(), head() or screenshot)? You can use the reprex and datapasta packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?

    – Tung
    Nov 16 '18 at 4:35











  • yes I already change some but not sure it correct. Thanks for your comment

    – Trang Pham
    Nov 16 '18 at 7:45











  • use bind_rows to combine tidy1 & tidy2 into a single dataframe and then plot with a single call to geom_line.

    – Richard Telford
    Nov 16 '18 at 8:48













1












1








1








I am new R user. I tried to add legend of mean data of df_summary1 and df_summary2 with title "RCP4.5" and "RCP8.5" in my ggplot but fail. Can any one help me on this. Thanks in advance.



ggplot()+
geom_line(data=df_tidy1, aes(x=date, y=Ratio, group=Cell), color="grey") +
geom_line(data=df_tidy2, aes(x=date, y=Ratio, group=Cell), color="grey")+
geom_line(data = df_summary1, aes(x = date, y=mean), color = "red") +
geom_line(data = df_summary2, aes(x = date, y=mean), color = "blue")+
geom_ribbon(data =df_summary1, aes(x= date, ymin=CI_lower, ymax=CI_upper) ,fill="blue", alpha=0.2)+
geom_ribbon(data =df_summary2,aes(x= date, ymin=CI_lower, ymax=CI_upper) ,fill="grey", alpha=0.2)+
xlab("data") + ylab("Average temperature")


Here is the graph
enter image description here



the df_tidy1 look like:



data.frame(stringsAsFactors=FALSE,
date = c("1980-01-01", "1981-01-01", "1982-01-01", "1983-01-01",
"1984-01-01", "1985-01-01"),
Cell = c("Acsess.4.5", "Acsess.4.5", "Acsess.4.5", "Acsess.4.5",
"Acsess.4.5", "Acsess.4.5"),
Ratio = c(29.8715846994536, 29.5917808219178, 29.7479452054795,
30.2602739726027, 29.266393442623, 29.5342465753425)
)


the df_summary look like



 data.frame(
date = c("1980-01-01", "1981-01-01", "1982-01-01", "1983-01-01",
"1984-01-01", "1985-01-01"),
n = c("5", "5", "5", "5", "5", "5"),
mean = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425"),
sd = c("0", "0", "0", "0", "0", "0"),
sem = c("0", "0", "0", "0", "0", "0"),
CI_lower = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425"),
CI_upper = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425")
)









share|improve this question
















I am new R user. I tried to add legend of mean data of df_summary1 and df_summary2 with title "RCP4.5" and "RCP8.5" in my ggplot but fail. Can any one help me on this. Thanks in advance.



ggplot()+
geom_line(data=df_tidy1, aes(x=date, y=Ratio, group=Cell), color="grey") +
geom_line(data=df_tidy2, aes(x=date, y=Ratio, group=Cell), color="grey")+
geom_line(data = df_summary1, aes(x = date, y=mean), color = "red") +
geom_line(data = df_summary2, aes(x = date, y=mean), color = "blue")+
geom_ribbon(data =df_summary1, aes(x= date, ymin=CI_lower, ymax=CI_upper) ,fill="blue", alpha=0.2)+
geom_ribbon(data =df_summary2,aes(x= date, ymin=CI_lower, ymax=CI_upper) ,fill="grey", alpha=0.2)+
xlab("data") + ylab("Average temperature")


Here is the graph
enter image description here



the df_tidy1 look like:



data.frame(stringsAsFactors=FALSE,
date = c("1980-01-01", "1981-01-01", "1982-01-01", "1983-01-01",
"1984-01-01", "1985-01-01"),
Cell = c("Acsess.4.5", "Acsess.4.5", "Acsess.4.5", "Acsess.4.5",
"Acsess.4.5", "Acsess.4.5"),
Ratio = c(29.8715846994536, 29.5917808219178, 29.7479452054795,
30.2602739726027, 29.266393442623, 29.5342465753425)
)


the df_summary look like



 data.frame(
date = c("1980-01-01", "1981-01-01", "1982-01-01", "1983-01-01",
"1984-01-01", "1985-01-01"),
n = c("5", "5", "5", "5", "5", "5"),
mean = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425"),
sd = c("0", "0", "0", "0", "0", "0"),
sem = c("0", "0", "0", "0", "0", "0"),
CI_lower = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425"),
CI_upper = c("29.8715846994536", "29.5917808219178", "29.7479452054795",
"30.2602739726027", "29.266393442623", "29.5342465753425")
)






r ggplot2






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 16 '18 at 8:46









Richard Telford

5,97752436




5,97752436










asked Nov 16 '18 at 3:12









Trang PhamTrang Pham

84




84












  • Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use str(), head() or screenshot)? You can use the reprex and datapasta packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?

    – Tung
    Nov 16 '18 at 4:35











  • yes I already change some but not sure it correct. Thanks for your comment

    – Trang Pham
    Nov 16 '18 at 7:45











  • use bind_rows to combine tidy1 & tidy2 into a single dataframe and then plot with a single call to geom_line.

    – Richard Telford
    Nov 16 '18 at 8:48

















  • Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use str(), head() or screenshot)? You can use the reprex and datapasta packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?

    – Tung
    Nov 16 '18 at 4:35











  • yes I already change some but not sure it correct. Thanks for your comment

    – Trang Pham
    Nov 16 '18 at 7:45











  • use bind_rows to combine tidy1 & tidy2 into a single dataframe and then plot with a single call to geom_line.

    – Richard Telford
    Nov 16 '18 at 8:48
















Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use str(), head() or screenshot)? You can use the reprex and datapasta packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?

– Tung
Nov 16 '18 at 4:35





Welcome to Stack Overflow! Could you make your problem reproducible by sharing a sample of your data so others can help (please do not use str(), head() or screenshot)? You can use the reprex and datapasta packages to assist you with that. See also Help me Help you & How to make a great R reproducible example?

– Tung
Nov 16 '18 at 4:35













yes I already change some but not sure it correct. Thanks for your comment

– Trang Pham
Nov 16 '18 at 7:45





yes I already change some but not sure it correct. Thanks for your comment

– Trang Pham
Nov 16 '18 at 7:45













use bind_rows to combine tidy1 & tidy2 into a single dataframe and then plot with a single call to geom_line.

– Richard Telford
Nov 16 '18 at 8:48





use bind_rows to combine tidy1 & tidy2 into a single dataframe and then plot with a single call to geom_line.

– Richard Telford
Nov 16 '18 at 8:48












1 Answer
1






active

oldest

votes


















0














You didn't provide df_tidy2 and df_summary2 but this should give you a good start





library(tidyverse)

ggplot() +
geom_line(data = df_tidy1, aes(x = date, y = Ratio, group = Cell), color = "grey") +
# geom_line(data = df_tidy2, aes(x = date, y = Ratio, group = Cell), color = "grey") +
geom_line(data = df_summary1, aes(x = date, y = mean, color = "RCP4.5")) +
# geom_line(data = df_summary2, aes(x = date, y = mean, color = "blue")) +
geom_ribbon(data = df_summary1, aes(x = date, ymin = CI_lower, ymax = CI_upper),
fill = "blue", alpha = 0.2) +
# geom_ribbon(data = df_summary2, aes(x = date, ymin = CI_lower, ymax = CI_upper), fill = "grey", alpha = 0.2) +
xlab("Date") +
ylab("Average temperature") +
scale_color_manual("Legend", values = c("blue")) +
scale_x_date(expand = c(0, 0), date_breaks = '18 months', date_labels = "%b-%Y") +
theme_classic(base_size = 14)




Created on 2018-11-16 by the reprex package (v0.2.1.9000)






share|improve this answer























  • Also relevant: stackoverflow.com/a/49957519 & stackoverflow.com/a/49377292

    – Tung
    Nov 16 '18 at 17:23






  • 1





    This might be relevant too: stackoverflow.com/questions/21861617/…

    – iouraich
    Nov 16 '18 at 18:28






  • 1





    Thank you so much for your help

    – Trang Pham
    Nov 17 '18 at 14:17






  • 1





    @Tung: yep, done. Thank for your suggestion

    – Trang Pham
    Nov 18 '18 at 8:52










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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














You didn't provide df_tidy2 and df_summary2 but this should give you a good start





library(tidyverse)

ggplot() +
geom_line(data = df_tidy1, aes(x = date, y = Ratio, group = Cell), color = "grey") +
# geom_line(data = df_tidy2, aes(x = date, y = Ratio, group = Cell), color = "grey") +
geom_line(data = df_summary1, aes(x = date, y = mean, color = "RCP4.5")) +
# geom_line(data = df_summary2, aes(x = date, y = mean, color = "blue")) +
geom_ribbon(data = df_summary1, aes(x = date, ymin = CI_lower, ymax = CI_upper),
fill = "blue", alpha = 0.2) +
# geom_ribbon(data = df_summary2, aes(x = date, ymin = CI_lower, ymax = CI_upper), fill = "grey", alpha = 0.2) +
xlab("Date") +
ylab("Average temperature") +
scale_color_manual("Legend", values = c("blue")) +
scale_x_date(expand = c(0, 0), date_breaks = '18 months', date_labels = "%b-%Y") +
theme_classic(base_size = 14)




Created on 2018-11-16 by the reprex package (v0.2.1.9000)






share|improve this answer























  • Also relevant: stackoverflow.com/a/49957519 & stackoverflow.com/a/49377292

    – Tung
    Nov 16 '18 at 17:23






  • 1





    This might be relevant too: stackoverflow.com/questions/21861617/…

    – iouraich
    Nov 16 '18 at 18:28






  • 1





    Thank you so much for your help

    – Trang Pham
    Nov 17 '18 at 14:17






  • 1





    @Tung: yep, done. Thank for your suggestion

    – Trang Pham
    Nov 18 '18 at 8:52















0














You didn't provide df_tidy2 and df_summary2 but this should give you a good start





library(tidyverse)

ggplot() +
geom_line(data = df_tidy1, aes(x = date, y = Ratio, group = Cell), color = "grey") +
# geom_line(data = df_tidy2, aes(x = date, y = Ratio, group = Cell), color = "grey") +
geom_line(data = df_summary1, aes(x = date, y = mean, color = "RCP4.5")) +
# geom_line(data = df_summary2, aes(x = date, y = mean, color = "blue")) +
geom_ribbon(data = df_summary1, aes(x = date, ymin = CI_lower, ymax = CI_upper),
fill = "blue", alpha = 0.2) +
# geom_ribbon(data = df_summary2, aes(x = date, ymin = CI_lower, ymax = CI_upper), fill = "grey", alpha = 0.2) +
xlab("Date") +
ylab("Average temperature") +
scale_color_manual("Legend", values = c("blue")) +
scale_x_date(expand = c(0, 0), date_breaks = '18 months', date_labels = "%b-%Y") +
theme_classic(base_size = 14)




Created on 2018-11-16 by the reprex package (v0.2.1.9000)






share|improve this answer























  • Also relevant: stackoverflow.com/a/49957519 & stackoverflow.com/a/49377292

    – Tung
    Nov 16 '18 at 17:23






  • 1





    This might be relevant too: stackoverflow.com/questions/21861617/…

    – iouraich
    Nov 16 '18 at 18:28






  • 1





    Thank you so much for your help

    – Trang Pham
    Nov 17 '18 at 14:17






  • 1





    @Tung: yep, done. Thank for your suggestion

    – Trang Pham
    Nov 18 '18 at 8:52













0












0








0







You didn't provide df_tidy2 and df_summary2 but this should give you a good start





library(tidyverse)

ggplot() +
geom_line(data = df_tidy1, aes(x = date, y = Ratio, group = Cell), color = "grey") +
# geom_line(data = df_tidy2, aes(x = date, y = Ratio, group = Cell), color = "grey") +
geom_line(data = df_summary1, aes(x = date, y = mean, color = "RCP4.5")) +
# geom_line(data = df_summary2, aes(x = date, y = mean, color = "blue")) +
geom_ribbon(data = df_summary1, aes(x = date, ymin = CI_lower, ymax = CI_upper),
fill = "blue", alpha = 0.2) +
# geom_ribbon(data = df_summary2, aes(x = date, ymin = CI_lower, ymax = CI_upper), fill = "grey", alpha = 0.2) +
xlab("Date") +
ylab("Average temperature") +
scale_color_manual("Legend", values = c("blue")) +
scale_x_date(expand = c(0, 0), date_breaks = '18 months', date_labels = "%b-%Y") +
theme_classic(base_size = 14)




Created on 2018-11-16 by the reprex package (v0.2.1.9000)






share|improve this answer













You didn't provide df_tidy2 and df_summary2 but this should give you a good start





library(tidyverse)

ggplot() +
geom_line(data = df_tidy1, aes(x = date, y = Ratio, group = Cell), color = "grey") +
# geom_line(data = df_tidy2, aes(x = date, y = Ratio, group = Cell), color = "grey") +
geom_line(data = df_summary1, aes(x = date, y = mean, color = "RCP4.5")) +
# geom_line(data = df_summary2, aes(x = date, y = mean, color = "blue")) +
geom_ribbon(data = df_summary1, aes(x = date, ymin = CI_lower, ymax = CI_upper),
fill = "blue", alpha = 0.2) +
# geom_ribbon(data = df_summary2, aes(x = date, ymin = CI_lower, ymax = CI_upper), fill = "grey", alpha = 0.2) +
xlab("Date") +
ylab("Average temperature") +
scale_color_manual("Legend", values = c("blue")) +
scale_x_date(expand = c(0, 0), date_breaks = '18 months', date_labels = "%b-%Y") +
theme_classic(base_size = 14)




Created on 2018-11-16 by the reprex package (v0.2.1.9000)







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 16 '18 at 8:57









TungTung

9,89122844




9,89122844












  • Also relevant: stackoverflow.com/a/49957519 & stackoverflow.com/a/49377292

    – Tung
    Nov 16 '18 at 17:23






  • 1





    This might be relevant too: stackoverflow.com/questions/21861617/…

    – iouraich
    Nov 16 '18 at 18:28






  • 1





    Thank you so much for your help

    – Trang Pham
    Nov 17 '18 at 14:17






  • 1





    @Tung: yep, done. Thank for your suggestion

    – Trang Pham
    Nov 18 '18 at 8:52

















  • Also relevant: stackoverflow.com/a/49957519 & stackoverflow.com/a/49377292

    – Tung
    Nov 16 '18 at 17:23






  • 1





    This might be relevant too: stackoverflow.com/questions/21861617/…

    – iouraich
    Nov 16 '18 at 18:28






  • 1





    Thank you so much for your help

    – Trang Pham
    Nov 17 '18 at 14:17






  • 1





    @Tung: yep, done. Thank for your suggestion

    – Trang Pham
    Nov 18 '18 at 8:52
















Also relevant: stackoverflow.com/a/49957519 & stackoverflow.com/a/49377292

– Tung
Nov 16 '18 at 17:23





Also relevant: stackoverflow.com/a/49957519 & stackoverflow.com/a/49377292

– Tung
Nov 16 '18 at 17:23




1




1





This might be relevant too: stackoverflow.com/questions/21861617/…

– iouraich
Nov 16 '18 at 18:28





This might be relevant too: stackoverflow.com/questions/21861617/…

– iouraich
Nov 16 '18 at 18:28




1




1





Thank you so much for your help

– Trang Pham
Nov 17 '18 at 14:17





Thank you so much for your help

– Trang Pham
Nov 17 '18 at 14:17




1




1





@Tung: yep, done. Thank for your suggestion

– Trang Pham
Nov 18 '18 at 8:52





@Tung: yep, done. Thank for your suggestion

– Trang Pham
Nov 18 '18 at 8:52



















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