How to create Radar Plot in R, The same-named function in the package requires a data frame as input, with the first column containing the names of the groups and each subsequent column containing a variable.
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set.seed(123)
df <- data.frame(matrix(runif(30), ncol = 10))
df[, 1] <- paste0("G", 1:3)
colnames(df) <- c("Gorup", paste("Var", 1:9))Gorup Var 1 Var 2 Var 3 Var 4 Var 5 Var 6 Var 7 1 G1 0.8830174 0.5281055 0.4566147 0.6775706 0.89982497 0.3279207 0.6928034 2 G2 0.9404673 0.8924190 0.9568333 0.5726334 0.24608773 0.9545036 0.6405068 3 G3 0.0455565 0.5514350 0.4533342 0.1029247 0.04205953 0.8895393 0.9942698 Var 8 Var 9 1 0.6557058 0.5941420 2 0.7085305 0.2891597 3 0.5440660 0.1471136
Simple radar diagram
The function will produce the following graphic if the data frame is passed to it.
Keep in mind that you will need to define the lowest value and the maximum value if the values in your columns are not between 0 and 1.
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Radar chart
# install.packages("devtools")
# devtools::install_github("ricardo-bion/ggradar")
library(ggradar)
ggradar(df)
Chart labels
You can change the labels for each variable and the grid labels using with axis.labels command.
ggradar(df, values.radar = c(0, 0.5, 1),
axis.labels = paste0("A", 1:9))
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Colors and types of lines
The function offers a number of arguments for altering colours, including those for the background, line, and grid colors.
lcols <- c("#EEA236", "#5CB85C", "#46B8DA")
ggradar(df,
background.circle.colour = "white",
axis.line.colour = "gray60",
gridline.min.colour = "gray60",
gridline.mid.colour = "gray60",
gridline.max.colour = "gray60",
group.colours = lcols)
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Customize the radar chart color in ggplot2
lcols <- c("#EEA236", "#5CB85C", "#46B8DA")
ggradar(df,
background.circle.colour = "white",
gridline.min.linetype = 1,
gridline.mid.linetype = 1,
gridline.max.linetype = 1,
group.colours = lcols)
Customize radar chart lines in ggplot2
The legend’s title and position can both be modified with the legend.position and legend.title argument, respectively.
ggradar(df, legend.title = "Group", legend.position = "bottom")
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Remove the legend
gradar(df,plot.legend = FALSE)
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