ggplot2 in R

You can use the following basic syntax to create a plot in ggplot2 using multiple data frames: library(ggplot2) ggplot() + geom_line(data=df1, aes(x=x_var,…

You can use the following basic syntax to remove NA values from a plot in ggplot2: library(ggplot2) ggplot(data=subset(df, !is.na(this_column)), aes(x=this_column)) + geom_bar()…

You can use the following methods to adjust the space between bars in ggplot2 bar charts: Method 1: Adjust Spacing Between Bars…

You can use the following basic syntax to connect points with lines in a plot in ggplot2: library(ggplot2) ggplot(df, aes(x=x_var, y=y_var)) +…

Residual plots are used to assess whether or not the residuals in a regression model are normally distributed and whether or not…

A Q-Q plot, short for “quantile-quantile” plot, is used to assess whether or not a set of data potentially came from some…

You can use the following basic syntax to add a label to a horizontal line in ggplot2: + annotate(“text”, x=9, y=20, label=”Here…

You can use the following basic syntax to plot multiple lines in ggplot2: ggplot(df, aes(x=x_var, y=y_var)) + geom_line(aes(color=group_var)) + scale_color_manual(name=’legend_title’, labels=c(‘lab1’, ‘lab2’,…

Often you may want to plot the mean and standard deviation by group in ggplot2. Fortunately this is easy to do using…

You can use the following methods to add a subtitle to plots in ggplot2: Method 1: Add Subtitle p + labs(title=’My Title’,…