Customizing the angle in a ggplot x-axis tick labels










1















I want to plot a heatmap using ggplot2, and I want to customize the x-axis ticks - location, text, and angle.



Here are my example data:



set.seed(1)
df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))


I'd like to have the x-axis tick have only a single tick value, located in the middle of the axis range - 10, with the label: "X-Label", at a 90 degrees angle. In addition, I do not want an x-axis title.



Here's what I'm trying:



library(ggplot2)
ggplot(data=df,mapping=aes(x=Var2,y=Var1,fill=value))+
geom_tile()+theme_minimal()+scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred")+
scale_x_discrete(breaks=10,labels="X-Label")+theme(axis.title.x=element_blank(),axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))


enter image description here



So, obviously it's not working.



I thought that I can define the angle as part of the scale_x_discrete arguments but couldn't find that option.



Also, note that I do not want an x-axis title but only the tick text. So I'm not sure why the breaks and labels arguments in scale_x_discrete are ignored.



Here's the desired outcome using plotly:



library(plotly)
library(dplyr)
plot_ly(z=c(df$value),x=df$Var2,y=df$Var1,colors=grDevices::colorRamp(c("darkblue","gray","darkred")),type="heatmap",colorbar=list(title="Scaled Value",len=0.4)) %>%
layout(yaxis=list(title=NULL),xaxis=list(tickangle=90,tickvals=10,ticktext="X-Label"))


enter image description here



Thanks










share|improve this question
























  • Can you post desired result as your description is not too clear? This may involve using image software to sketch out for us: Paint, Paintbrush, Pinta, etc.

    – Parfait
    Nov 13 '18 at 18:24















1















I want to plot a heatmap using ggplot2, and I want to customize the x-axis ticks - location, text, and angle.



Here are my example data:



set.seed(1)
df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))


I'd like to have the x-axis tick have only a single tick value, located in the middle of the axis range - 10, with the label: "X-Label", at a 90 degrees angle. In addition, I do not want an x-axis title.



Here's what I'm trying:



library(ggplot2)
ggplot(data=df,mapping=aes(x=Var2,y=Var1,fill=value))+
geom_tile()+theme_minimal()+scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred")+
scale_x_discrete(breaks=10,labels="X-Label")+theme(axis.title.x=element_blank(),axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))


enter image description here



So, obviously it's not working.



I thought that I can define the angle as part of the scale_x_discrete arguments but couldn't find that option.



Also, note that I do not want an x-axis title but only the tick text. So I'm not sure why the breaks and labels arguments in scale_x_discrete are ignored.



Here's the desired outcome using plotly:



library(plotly)
library(dplyr)
plot_ly(z=c(df$value),x=df$Var2,y=df$Var1,colors=grDevices::colorRamp(c("darkblue","gray","darkred")),type="heatmap",colorbar=list(title="Scaled Value",len=0.4)) %>%
layout(yaxis=list(title=NULL),xaxis=list(tickangle=90,tickvals=10,ticktext="X-Label"))


enter image description here



Thanks










share|improve this question
























  • Can you post desired result as your description is not too clear? This may involve using image software to sketch out for us: Paint, Paintbrush, Pinta, etc.

    – Parfait
    Nov 13 '18 at 18:24













1












1








1








I want to plot a heatmap using ggplot2, and I want to customize the x-axis ticks - location, text, and angle.



Here are my example data:



set.seed(1)
df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))


I'd like to have the x-axis tick have only a single tick value, located in the middle of the axis range - 10, with the label: "X-Label", at a 90 degrees angle. In addition, I do not want an x-axis title.



Here's what I'm trying:



library(ggplot2)
ggplot(data=df,mapping=aes(x=Var2,y=Var1,fill=value))+
geom_tile()+theme_minimal()+scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred")+
scale_x_discrete(breaks=10,labels="X-Label")+theme(axis.title.x=element_blank(),axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))


enter image description here



So, obviously it's not working.



I thought that I can define the angle as part of the scale_x_discrete arguments but couldn't find that option.



Also, note that I do not want an x-axis title but only the tick text. So I'm not sure why the breaks and labels arguments in scale_x_discrete are ignored.



Here's the desired outcome using plotly:



library(plotly)
library(dplyr)
plot_ly(z=c(df$value),x=df$Var2,y=df$Var1,colors=grDevices::colorRamp(c("darkblue","gray","darkred")),type="heatmap",colorbar=list(title="Scaled Value",len=0.4)) %>%
layout(yaxis=list(title=NULL),xaxis=list(tickangle=90,tickvals=10,ticktext="X-Label"))


enter image description here



Thanks










share|improve this question
















I want to plot a heatmap using ggplot2, and I want to customize the x-axis ticks - location, text, and angle.



Here are my example data:



set.seed(1)
df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))


I'd like to have the x-axis tick have only a single tick value, located in the middle of the axis range - 10, with the label: "X-Label", at a 90 degrees angle. In addition, I do not want an x-axis title.



Here's what I'm trying:



library(ggplot2)
ggplot(data=df,mapping=aes(x=Var2,y=Var1,fill=value))+
geom_tile()+theme_minimal()+scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred")+
scale_x_discrete(breaks=10,labels="X-Label")+theme(axis.title.x=element_blank(),axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))


enter image description here



So, obviously it's not working.



I thought that I can define the angle as part of the scale_x_discrete arguments but couldn't find that option.



Also, note that I do not want an x-axis title but only the tick text. So I'm not sure why the breaks and labels arguments in scale_x_discrete are ignored.



Here's the desired outcome using plotly:



library(plotly)
library(dplyr)
plot_ly(z=c(df$value),x=df$Var2,y=df$Var1,colors=grDevices::colorRamp(c("darkblue","gray","darkred")),type="heatmap",colorbar=list(title="Scaled Value",len=0.4)) %>%
layout(yaxis=list(title=NULL),xaxis=list(tickangle=90,tickvals=10,ticktext="X-Label"))


enter image description here



Thanks







r ggplot2 axis-labels






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 13 '18 at 18:32







dan

















asked Nov 13 '18 at 18:05









dandan

1,45341045




1,45341045












  • Can you post desired result as your description is not too clear? This may involve using image software to sketch out for us: Paint, Paintbrush, Pinta, etc.

    – Parfait
    Nov 13 '18 at 18:24

















  • Can you post desired result as your description is not too clear? This may involve using image software to sketch out for us: Paint, Paintbrush, Pinta, etc.

    – Parfait
    Nov 13 '18 at 18:24
















Can you post desired result as your description is not too clear? This may involve using image software to sketch out for us: Paint, Paintbrush, Pinta, etc.

– Parfait
Nov 13 '18 at 18:24





Can you post desired result as your description is not too clear? This may involve using image software to sketch out for us: Paint, Paintbrush, Pinta, etc.

– Parfait
Nov 13 '18 at 18:24












2 Answers
2






active

oldest

votes


















2














I think that specifying breaks = 10 is causing your axis labels to go unprinted. 10 isn't one of your values, and it doesn't fit the description of a valid argument in ?scale_x_discrete, so let's use a real x-axis value instead. You say "right in the middle", so I'll use "G50" since your x-axis values range from "G1" to "G100":



ggplot(data = df,
mapping = aes(x = Var1, y = Var2, fill = value)) +
geom_tile() +
theme_minimal() +
scale_fill_gradient2(
name = "Scaled Value",
low = "darkblue",
mid = "gray",
high = "darkred"
) +
scale_x_discrete(breaks = "G50", labels = "X-Label", name = "") +
theme(
axis.text.x = element_text(
angle = 90,
hjust = 1,
vjust = 0.5
))


enter image description here



I also specified name = "" in the scale function instead of using theme to disable the axis title.



If you need to dynamically calculate the middle level, it's a bit messy but this should work:



breaks = levels(df$Var1)[ceiling(length(levels(df$Var1)) / 2)]





share|improve this answer
































    0














    The breaks option inside scale_x_discrete does not specify the number of breaks but one of:



    • NULL for no breaks

    • waiver() for the default breaks computed by the transformation object

    • A character vector of breaks

    • A function that takes the limits as input and returns breaks as output

    I find it easiest just to define the character vectors. In this case one half over at the 50th element.



    set.seed(1)
    df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))

    library(ggplot2)
    ggplot(data=df,mapping=aes(x=Var1,y=Var2,fill=value))+
    geom_tile() +
    theme_minimal() +
    scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred") +
    scale_x_discrete(breaks=unique(df$Var1)[50],labels="X-Label") +
    theme(axis.title.x=element_blank(), axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))

    #Use this line instead to label along the axis
    #scale_x_discrete(breaks=unique(df$Var1)[seq(1,100, 10)],labels=unique(df$Var1)[seq(1,100, 10)]) +


    enter image description here



    Hopefully this is what you are looking for.






    share|improve this answer
























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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      2














      I think that specifying breaks = 10 is causing your axis labels to go unprinted. 10 isn't one of your values, and it doesn't fit the description of a valid argument in ?scale_x_discrete, so let's use a real x-axis value instead. You say "right in the middle", so I'll use "G50" since your x-axis values range from "G1" to "G100":



      ggplot(data = df,
      mapping = aes(x = Var1, y = Var2, fill = value)) +
      geom_tile() +
      theme_minimal() +
      scale_fill_gradient2(
      name = "Scaled Value",
      low = "darkblue",
      mid = "gray",
      high = "darkred"
      ) +
      scale_x_discrete(breaks = "G50", labels = "X-Label", name = "") +
      theme(
      axis.text.x = element_text(
      angle = 90,
      hjust = 1,
      vjust = 0.5
      ))


      enter image description here



      I also specified name = "" in the scale function instead of using theme to disable the axis title.



      If you need to dynamically calculate the middle level, it's a bit messy but this should work:



      breaks = levels(df$Var1)[ceiling(length(levels(df$Var1)) / 2)]





      share|improve this answer





























        2














        I think that specifying breaks = 10 is causing your axis labels to go unprinted. 10 isn't one of your values, and it doesn't fit the description of a valid argument in ?scale_x_discrete, so let's use a real x-axis value instead. You say "right in the middle", so I'll use "G50" since your x-axis values range from "G1" to "G100":



        ggplot(data = df,
        mapping = aes(x = Var1, y = Var2, fill = value)) +
        geom_tile() +
        theme_minimal() +
        scale_fill_gradient2(
        name = "Scaled Value",
        low = "darkblue",
        mid = "gray",
        high = "darkred"
        ) +
        scale_x_discrete(breaks = "G50", labels = "X-Label", name = "") +
        theme(
        axis.text.x = element_text(
        angle = 90,
        hjust = 1,
        vjust = 0.5
        ))


        enter image description here



        I also specified name = "" in the scale function instead of using theme to disable the axis title.



        If you need to dynamically calculate the middle level, it's a bit messy but this should work:



        breaks = levels(df$Var1)[ceiling(length(levels(df$Var1)) / 2)]





        share|improve this answer



























          2












          2








          2







          I think that specifying breaks = 10 is causing your axis labels to go unprinted. 10 isn't one of your values, and it doesn't fit the description of a valid argument in ?scale_x_discrete, so let's use a real x-axis value instead. You say "right in the middle", so I'll use "G50" since your x-axis values range from "G1" to "G100":



          ggplot(data = df,
          mapping = aes(x = Var1, y = Var2, fill = value)) +
          geom_tile() +
          theme_minimal() +
          scale_fill_gradient2(
          name = "Scaled Value",
          low = "darkblue",
          mid = "gray",
          high = "darkred"
          ) +
          scale_x_discrete(breaks = "G50", labels = "X-Label", name = "") +
          theme(
          axis.text.x = element_text(
          angle = 90,
          hjust = 1,
          vjust = 0.5
          ))


          enter image description here



          I also specified name = "" in the scale function instead of using theme to disable the axis title.



          If you need to dynamically calculate the middle level, it's a bit messy but this should work:



          breaks = levels(df$Var1)[ceiling(length(levels(df$Var1)) / 2)]





          share|improve this answer















          I think that specifying breaks = 10 is causing your axis labels to go unprinted. 10 isn't one of your values, and it doesn't fit the description of a valid argument in ?scale_x_discrete, so let's use a real x-axis value instead. You say "right in the middle", so I'll use "G50" since your x-axis values range from "G1" to "G100":



          ggplot(data = df,
          mapping = aes(x = Var1, y = Var2, fill = value)) +
          geom_tile() +
          theme_minimal() +
          scale_fill_gradient2(
          name = "Scaled Value",
          low = "darkblue",
          mid = "gray",
          high = "darkred"
          ) +
          scale_x_discrete(breaks = "G50", labels = "X-Label", name = "") +
          theme(
          axis.text.x = element_text(
          angle = 90,
          hjust = 1,
          vjust = 0.5
          ))


          enter image description here



          I also specified name = "" in the scale function instead of using theme to disable the axis title.



          If you need to dynamically calculate the middle level, it's a bit messy but this should work:



          breaks = levels(df$Var1)[ceiling(length(levels(df$Var1)) / 2)]






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 13 '18 at 18:37

























          answered Nov 13 '18 at 18:31









          GregorGregor

          63.6k990170




          63.6k990170























              0














              The breaks option inside scale_x_discrete does not specify the number of breaks but one of:



              • NULL for no breaks

              • waiver() for the default breaks computed by the transformation object

              • A character vector of breaks

              • A function that takes the limits as input and returns breaks as output

              I find it easiest just to define the character vectors. In this case one half over at the 50th element.



              set.seed(1)
              df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))

              library(ggplot2)
              ggplot(data=df,mapping=aes(x=Var1,y=Var2,fill=value))+
              geom_tile() +
              theme_minimal() +
              scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred") +
              scale_x_discrete(breaks=unique(df$Var1)[50],labels="X-Label") +
              theme(axis.title.x=element_blank(), axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))

              #Use this line instead to label along the axis
              #scale_x_discrete(breaks=unique(df$Var1)[seq(1,100, 10)],labels=unique(df$Var1)[seq(1,100, 10)]) +


              enter image description here



              Hopefully this is what you are looking for.






              share|improve this answer





























                0














                The breaks option inside scale_x_discrete does not specify the number of breaks but one of:



                • NULL for no breaks

                • waiver() for the default breaks computed by the transformation object

                • A character vector of breaks

                • A function that takes the limits as input and returns breaks as output

                I find it easiest just to define the character vectors. In this case one half over at the 50th element.



                set.seed(1)
                df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))

                library(ggplot2)
                ggplot(data=df,mapping=aes(x=Var1,y=Var2,fill=value))+
                geom_tile() +
                theme_minimal() +
                scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred") +
                scale_x_discrete(breaks=unique(df$Var1)[50],labels="X-Label") +
                theme(axis.title.x=element_blank(), axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))

                #Use this line instead to label along the axis
                #scale_x_discrete(breaks=unique(df$Var1)[seq(1,100, 10)],labels=unique(df$Var1)[seq(1,100, 10)]) +


                enter image description here



                Hopefully this is what you are looking for.






                share|improve this answer



























                  0












                  0








                  0







                  The breaks option inside scale_x_discrete does not specify the number of breaks but one of:



                  • NULL for no breaks

                  • waiver() for the default breaks computed by the transformation object

                  • A character vector of breaks

                  • A function that takes the limits as input and returns breaks as output

                  I find it easiest just to define the character vectors. In this case one half over at the 50th element.



                  set.seed(1)
                  df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))

                  library(ggplot2)
                  ggplot(data=df,mapping=aes(x=Var1,y=Var2,fill=value))+
                  geom_tile() +
                  theme_minimal() +
                  scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred") +
                  scale_x_discrete(breaks=unique(df$Var1)[50],labels="X-Label") +
                  theme(axis.title.x=element_blank(), axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))

                  #Use this line instead to label along the axis
                  #scale_x_discrete(breaks=unique(df$Var1)[seq(1,100, 10)],labels=unique(df$Var1)[seq(1,100, 10)]) +


                  enter image description here



                  Hopefully this is what you are looking for.






                  share|improve this answer















                  The breaks option inside scale_x_discrete does not specify the number of breaks but one of:



                  • NULL for no breaks

                  • waiver() for the default breaks computed by the transformation object

                  • A character vector of breaks

                  • A function that takes the limits as input and returns breaks as output

                  I find it easiest just to define the character vectors. In this case one half over at the 50th element.



                  set.seed(1)
                  df <- reshape2::melt(matrix(rnorm(100*20),100,20,dimnames = list(paste0("G",1:100),paste0("S",1:20))))

                  library(ggplot2)
                  ggplot(data=df,mapping=aes(x=Var1,y=Var2,fill=value))+
                  geom_tile() +
                  theme_minimal() +
                  scale_fill_gradient2(name="Scaled Value",low="darkblue",mid="gray",high="darkred") +
                  scale_x_discrete(breaks=unique(df$Var1)[50],labels="X-Label") +
                  theme(axis.title.x=element_blank(), axis.text.x=element_text(angle=90,hjust=1,vjust=0.5))

                  #Use this line instead to label along the axis
                  #scale_x_discrete(breaks=unique(df$Var1)[seq(1,100, 10)],labels=unique(df$Var1)[seq(1,100, 10)]) +


                  enter image description here



                  Hopefully this is what you are looking for.







                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited Nov 13 '18 at 18:40

























                  answered Nov 13 '18 at 18:31









                  Dave2eDave2e

                  6,811112328




                  6,811112328



























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