Plot times series multiple line x axis as date

I know it might be an old repeated question but I searched all the possible pages and could not find an appropriate answer. I have a time series data like below. I want to plot it as x-axis as time (just year or both month and year) and the rest of the columns as y (all in one plot). I tried different functions such as plot, ggplot(2), ts.plot, plot.ts and none of them gives me what I need. Any suggestions?

enter image description here

edited Nov 20 at 5:31

asked Nov 20 at 5:21

Heerj

135

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 20 at 8:22

add a comment |

enter image description here

edited Nov 20 at 5:31

asked Nov 20 at 5:21

Heerj

135

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 20 at 8:22

add a comment |

enter image description here

edited Nov 20 at 5:31

asked Nov 20 at 5:21

Heerj

135

enter image description here

r date plot time-series

edited Nov 20 at 5:31

asked Nov 20 at 5:21

Heerj

135

edited Nov 20 at 5:31

asked Nov 20 at 5:21

Heerj

135

edited Nov 20 at 5:31

asked Nov 20 at 5:21

Heerj

135

asked Nov 20 at 5:21

Heerj

135

asked Nov 20 at 5:21

Heerj

135

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 20 at 8:22

add a comment |

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 20 at 8:22

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 20 at 8:22

add a comment |

2 Answers
2

active

oldest

votes

Try this.

you need to create a date field. See the sample below, it has some dummy values code which you can ignore. You can use the date part (I use lubridate), and ggplot

library(tidyverse)

library(lubridate)



mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))

mp$Uymax <- rnorm(48,4555,54)

mp$Uymin<- rnorm(48,5656,34)

mp$uymedian<- rnorm(48,6767,43)

mp$uy90<- rnorm(48,7676,56)

mp$uy10<- rnorm(48,7676,66)



library(tidyverse)

mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))



mp %>% ggplot() +

  geom_line(aes(date,Uymax,color='Uymax')) +

  geom_line(aes(date,Uymin,color='Uymin')) +

  geom_line(aes(date,uymedian,color='uymedian')) +

  geom_line(aes(date,uy90,color='uy90')) +

  geom_line(aes(date,uy10,color='uy10'))

answered Nov 20 at 6:00

Aji

12613

Thanks @Aji. It worked. I also did a minor change to it. Since in your code, the y lable is set autumatically based on the first line, Uymax (which might not what desired), I chaned the first line to ggplot(mp, aes(Date,mp)). So, the y lab is now mp or can be changed to any other desired name.
– Heerj
Nov 20 at 23:20

add a comment |

First, I would suggest to transform your data from wide-format to long-format in order to graph multiple variables in one plot. Here's a good tutorial that would help you with that.

Here's an example that mimics your code

library(reshape2); library(ggplot2)





df <- data.frame(Month = 1:11, Year = 2000: 2010, UY_Min = 1:11, UY_Media = 20:30, UY_90Per = 30:40)



df_long <- melt(df, id.vars = c("Month", "Year"), variable.name = "UY", value.name = 

   "Values") #convert the table from wide to long format. you can name variable.name and value.name appropriately

here, I'm using a line plot as an example, but really once you shape your data to long-format, you can use any geom function you desire. then dress it up as necessary.

ggplot(df_long, aes(Year, The_Values, col = UY)) +

  geom_line() + 

  scale_x_continuous(breaks = seq(2000, 2010, by = 1))

enter image description here

answered Nov 20 at 6:25

Wally Ali

2,147817

@Thanks Wally Ali. I had tried this before. The graph is not as appropriate as I need.
– Heerj
Nov 20 at 23:03

add a comment |

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2 Answers
2

active

oldest

votes

2 Answers
2

active

oldest

votes

Try this.

you need to create a date field. See the sample below, it has some dummy values code which you can ignore. You can use the date part (I use lubridate), and ggplot

library(tidyverse)

library(lubridate)



mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))

mp$Uymax <- rnorm(48,4555,54)

mp$Uymin<- rnorm(48,5656,34)

mp$uymedian<- rnorm(48,6767,43)

mp$uy90<- rnorm(48,7676,56)

mp$uy10<- rnorm(48,7676,66)



library(tidyverse)

mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))



mp %>% ggplot() +

  geom_line(aes(date,Uymax,color='Uymax')) +

  geom_line(aes(date,Uymin,color='Uymin')) +

  geom_line(aes(date,uymedian,color='uymedian')) +

  geom_line(aes(date,uy90,color='uy90')) +

  geom_line(aes(date,uy10,color='uy10'))

answered Nov 20 at 6:00

Aji

12613

Thanks @Aji. It worked. I also did a minor change to it. Since in your code, the y lable is set autumatically based on the first line, Uymax (which might not what desired), I chaned the first line to ggplot(mp, aes(Date,mp)). So, the y lab is now mp or can be changed to any other desired name.
– Heerj
Nov 20 at 23:20

add a comment |

Try this.

you need to create a date field. See the sample below, it has some dummy values code which you can ignore. You can use the date part (I use lubridate), and ggplot

library(tidyverse)

library(lubridate)



mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))

mp$Uymax <- rnorm(48,4555,54)

mp$Uymin<- rnorm(48,5656,34)

mp$uymedian<- rnorm(48,6767,43)

mp$uy90<- rnorm(48,7676,56)

mp$uy10<- rnorm(48,7676,66)



library(tidyverse)

mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))



mp %>% ggplot() +

  geom_line(aes(date,Uymax,color='Uymax')) +

  geom_line(aes(date,Uymin,color='Uymin')) +

  geom_line(aes(date,uymedian,color='uymedian')) +

  geom_line(aes(date,uy90,color='uy90')) +

  geom_line(aes(date,uy10,color='uy10'))

answered Nov 20 at 6:00

Aji

12613

Thanks @Aji. It worked. I also did a minor change to it. Since in your code, the y lable is set autumatically based on the first line, Uymax (which might not what desired), I chaned the first line to ggplot(mp, aes(Date,mp)). So, the y lab is now mp or can be changed to any other desired name.
– Heerj
Nov 20 at 23:20

add a comment |

Try this.

you need to create a date field. See the sample below, it has some dummy values code which you can ignore. You can use the date part (I use lubridate), and ggplot

library(tidyverse)

library(lubridate)



mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))

mp$Uymax <- rnorm(48,4555,54)

mp$Uymin<- rnorm(48,5656,34)

mp$uymedian<- rnorm(48,6767,43)

mp$uy90<- rnorm(48,7676,56)

mp$uy10<- rnorm(48,7676,66)



library(tidyverse)

mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))



mp %>% ggplot() +

  geom_line(aes(date,Uymax,color='Uymax')) +

  geom_line(aes(date,Uymin,color='Uymin')) +

  geom_line(aes(date,uymedian,color='uymedian')) +

  geom_line(aes(date,uy90,color='uy90')) +

  geom_line(aes(date,uy10,color='uy10'))

answered Nov 20 at 6:00

Aji

12613

Try this.

you need to create a date field. See the sample below, it has some dummy values code which you can ignore. You can use the date part (I use lubridate), and ggplot

library(tidyverse)

library(lubridate)



mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))

mp$Uymax <- rnorm(48,4555,54)

mp$Uymin<- rnorm(48,5656,34)

mp$uymedian<- rnorm(48,6767,43)

mp$uy90<- rnorm(48,7676,56)

mp$uy10<- rnorm(48,7676,66)



library(tidyverse)

mp$date <- ymd(paste(mp$year,'-',mp$month,'-','01',sep = ""))



mp %>% ggplot() +

  geom_line(aes(date,Uymax,color='Uymax')) +

  geom_line(aes(date,Uymin,color='Uymin')) +

  geom_line(aes(date,uymedian,color='uymedian')) +

  geom_line(aes(date,uy90,color='uy90')) +

  geom_line(aes(date,uy10,color='uy10'))

answered Nov 20 at 6:00

Aji

12613

answered Nov 20 at 6:00

Aji

12613

answered Nov 20 at 6:00

Aji

12613

answered Nov 20 at 6:00

Aji

12613

Thanks @Aji. It worked. I also did a minor change to it. Since in your code, the y lable is set autumatically based on the first line, Uymax (which might not what desired), I chaned the first line to ggplot(mp, aes(Date,mp)). So, the y lab is now mp or can be changed to any other desired name.
– Heerj
Nov 20 at 23:20

add a comment |

Thanks @Aji. It worked. I also did a minor change to it. Since in your code, the y lable is set autumatically based on the first line, Uymax (which might not what desired), I chaned the first line to ggplot(mp, aes(Date,mp)). So, the y lab is now mp or can be changed to any other desired name.
– Heerj
Nov 20 at 23:20

Thanks @Aji. It worked. I also did a minor change to it. Since in your code, the y lable is set autumatically based on the first line, Uymax (which might not what desired), I chaned the first line to ggplot(mp, aes(Date,mp)). So, the y lab is now mp or can be changed to any other desired name.
– Heerj
Nov 20 at 23:20

add a comment |

First, I would suggest to transform your data from wide-format to long-format in order to graph multiple variables in one plot. Here's a good tutorial that would help you with that.

Here's an example that mimics your code

library(reshape2); library(ggplot2)





df <- data.frame(Month = 1:11, Year = 2000: 2010, UY_Min = 1:11, UY_Media = 20:30, UY_90Per = 30:40)



df_long <- melt(df, id.vars = c("Month", "Year"), variable.name = "UY", value.name = 

   "Values") #convert the table from wide to long format. you can name variable.name and value.name appropriately

here, I'm using a line plot as an example, but really once you shape your data to long-format, you can use any geom function you desire. then dress it up as necessary.

ggplot(df_long, aes(Year, The_Values, col = UY)) +

  geom_line() + 

  scale_x_continuous(breaks = seq(2000, 2010, by = 1))

enter image description here

answered Nov 20 at 6:25

Wally Ali

2,147817

@Thanks Wally Ali. I had tried this before. The graph is not as appropriate as I need.
– Heerj
Nov 20 at 23:03

add a comment |

First, I would suggest to transform your data from wide-format to long-format in order to graph multiple variables in one plot. Here's a good tutorial that would help you with that.

Here's an example that mimics your code

library(reshape2); library(ggplot2)





df <- data.frame(Month = 1:11, Year = 2000: 2010, UY_Min = 1:11, UY_Media = 20:30, UY_90Per = 30:40)



df_long <- melt(df, id.vars = c("Month", "Year"), variable.name = "UY", value.name = 

   "Values") #convert the table from wide to long format. you can name variable.name and value.name appropriately

here, I'm using a line plot as an example, but really once you shape your data to long-format, you can use any geom function you desire. then dress it up as necessary.

ggplot(df_long, aes(Year, The_Values, col = UY)) +

  geom_line() + 

  scale_x_continuous(breaks = seq(2000, 2010, by = 1))

enter image description here

answered Nov 20 at 6:25

Wally Ali

2,147817

@Thanks Wally Ali. I had tried this before. The graph is not as appropriate as I need.
– Heerj
Nov 20 at 23:03

add a comment |

First, I would suggest to transform your data from wide-format to long-format in order to graph multiple variables in one plot. Here's a good tutorial that would help you with that.

Here's an example that mimics your code

library(reshape2); library(ggplot2)





df <- data.frame(Month = 1:11, Year = 2000: 2010, UY_Min = 1:11, UY_Media = 20:30, UY_90Per = 30:40)



df_long <- melt(df, id.vars = c("Month", "Year"), variable.name = "UY", value.name = 

   "Values") #convert the table from wide to long format. you can name variable.name and value.name appropriately

here, I'm using a line plot as an example, but really once you shape your data to long-format, you can use any geom function you desire. then dress it up as necessary.

ggplot(df_long, aes(Year, The_Values, col = UY)) +

  geom_line() + 

  scale_x_continuous(breaks = seq(2000, 2010, by = 1))

enter image description here

answered Nov 20 at 6:25

Wally Ali

2,147817

First, I would suggest to transform your data from wide-format to long-format in order to graph multiple variables in one plot. Here's a good tutorial that would help you with that.

Here's an example that mimics your code

library(reshape2); library(ggplot2)





df <- data.frame(Month = 1:11, Year = 2000: 2010, UY_Min = 1:11, UY_Media = 20:30, UY_90Per = 30:40)



df_long <- melt(df, id.vars = c("Month", "Year"), variable.name = "UY", value.name = 

   "Values") #convert the table from wide to long format. you can name variable.name and value.name appropriately

here, I'm using a line plot as an example, but really once you shape your data to long-format, you can use any geom function you desire. then dress it up as necessary.

ggplot(df_long, aes(Year, The_Values, col = UY)) +

  geom_line() + 

  scale_x_continuous(breaks = seq(2000, 2010, by = 1))

enter image description here

answered Nov 20 at 6:25

Wally Ali

2,147817

answered Nov 20 at 6:25

Wally Ali

2,147817

answered Nov 20 at 6:25

Wally Ali

2,147817

answered Nov 20 at 6:25

Wally Ali

2,147817

@Thanks Wally Ali. I had tried this before. The graph is not as appropriate as I need.
– Heerj
Nov 20 at 23:03

add a comment |

@Thanks Wally Ali. I had tried this before. The graph is not as appropriate as I need.
– Heerj
Nov 20 at 23:03

@Thanks Wally Ali. I had tried this before. The graph is not as appropriate as I need.
– Heerj
Nov 20 at 23:03

add a comment |

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