Example 2: Change Axis Labels of Boxplot in ggplot2īefore we can create boxplots in ggplot2, we must use the melt() function from the reshape2 package to “melt” the data frame into a long format: library(reshape2) Notice that the labels we specified in the names argument are now used as the x-axis labels. However, we can use the names argument to specify the x-axis labels to use: #create boxplots with specific x-axis namesīoxplot(df, names=c(' Team A', ' Team B', ' Team C')) If we use the boxplot() function to create boxplots in base R, the column names of the data frame will be used as the x-axis labels by default: #create boxplots The following examples show how to use each method in practice with the following data frame in R: #make this example reproducibleĦ 3.460050 9.930481 14.39728 Example 1: Change Axis Labels of Boxplot in Base R Method 2: Change Axis Labels of Boxplot in ggplot2 levels(df_long$variable) <- c(' Label 1', ' Label 2', ' Label 3') Method 1: Change Axis Labels of Boxplot in Base R boxplot(df, names=c(' Label 1', ' Label 2', ' Label 3')) I do not have any experience with the ggeffects package, so maybe it might be better to ask this question to the Statistics Globe Facebook group.You can use one of the following methods to change the x-axis labels on a boxplot in R: ![]() # = element_text(family="Calibri", size=12,vjust=2), ![]() # title = element_text(family="Calibri", size=12,hjust=0.5), # theme(plot.title = element_text(hjust = 0.5), text=element_text(family="Calibri", size=12,color="grey20"), # xlab("")+ ylab("Predicted Probability of Hit") + ggtitle ("Effect of Listening Time") + Plot(p5, ci.style="errorbar", add.data=FALSE, dodge = 1) data = FALSE, dodge = 1 ) # + # xlab("")+ ylab("Predicted Probability of Hit") + ggtitle ("Effect of Listening Time") + # theme(plot.title = element_text(hjust = 0.5), text=element_text(family="Calibri", size=12,color="grey20"), # title = element_text(family="Calibri", size=12,hjust=0.5), # = element_text(family="Calibri", size=12,vjust=2), # = element_text(family="Calibri",vjust=0.5, size=10), # = element_text(family="Calibri",vjust=0.5, size=10), # = element_line(c("60","70"), color="gre圓5", size=0.2)) I could just copy the value but then it's tricky for the error bars. I don't really know how to solve this issue. Scale_x_discrete() doesn't work cause apparently there is an already existing mapping of the aesthetic (probably inherent to "plot" from ggeffects?) In this way on my x axis I get 0 and 1 but I want to change it with 0=10 seconds and 1=50 seconds. Theme(plot.title = element_text(hjust = 0.5), text=element_text(family="Calibri", size=12,color="grey20"), ![]() Xlab("")+ ylab("Predicted Probability of Hit") + ggtitle ("Effect of Listening Time") + Plot(p5, ci.style="errorbar", add.data=FALSE, dodge = 1) + #p5 is now a ame with x (level 0 or 1) in the first column, the predicted value in the 2nd column and the Standard error in column n☃ P5 <- ggemmeans(B9, "variable") #where B9 is a GLMM S4 object Thank you for your help it’s a very easy solution! However in my case I am using plot (to plot ggeffects object from ggeffects package), and apparently it doesn’t work. If you have further questions, please let me know in the comments section below. However, please note that it would also be possible to change the axis values of other types of graphs such as a histogram, boxplot, barchart, line plot, or a density plot by using the same kind of R code. In this tutorial, I have illustrated how to do this based on an exemplifying scatterplot. In summary: You have learned in this tutorial how to change the values on our axis scale in the R programming language. ![]() Change Formatting of Numbers of ggplot2 Plot Axis.I have released numerous tutorials already. If you accept this notice, your choice will be saved and the page will refresh.įurthermore, you might have a look at the related articles that I have published on my website. By accepting you will be accessing content from YouTube, a service provided by an external third party. Please accept YouTube cookies to play this video.
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