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Tidyverse in R

How to Connect Points with Lines in ggplot2 (With Example)

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)) + geom_line() + ...

How to Create a Residual Plot in ggplot2 (With Example)

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

How to Create a Q-Q Plot in ggplot2 (With Example)

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

How to Add Label to geom_hline in ggplot2

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 is my text") The...

How to Plot Multiple Lines in ggplot2 (With Example)

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',...

How to Plot Mean and Standard Deviation in ggplot2

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

How to Group By and Filter Data Using dplyr

You can use the following basic syntax to group by and filter data using the dplyr package in R: df %>% group_by(team) %>% ...

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