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# Barplot using RColorBrewerīarplot(c(2,5,7), col = brewer.pal(n = 3, name = 'RdBu'))Ĭoursera - Online Courses and Specialization Data science The function brewer.pal() is used to generate a vector of colors. Sp + scale_color_brewer(palette = 'Dark2') scale_color_brewer() for lines and pointsīp + scale_fill_brewer(palette = 'Dark2').scale_fill_brewer() for box plot, bar plot, violin plot, dot plot, etc.Two color scale functions are available in ggplot2 for using the colorbrewer palettes: You can also view a single RColorBrewer palette by specifying its name as follow : # View a single RColorBrewer palette by specifying its nameĭ(n = 8, name = 'Dark2')īrewer.pal(n = 8, name = 'Dark2') # '#1B9E77' '#D95F02' '#7570B3' '#E7298A' '#66A61E' '#E6AB02' '#A6761D' To display only colorblind-friendly brewer palettes, use this R code: (colorblindFriendly = TRUE) colorblindFriendly: if TRUE, display only colorblind friendly palettes.select: A list of palette names to display.Allowed values are one of: “div”, “qual”, “seq”, or “all”. name: A palette name from the lists above.n: Number of different colors in the palette, minimum 3, maximum depending on palette.Display a single RColorBrewer paletteĭ(n = NULL, type = 'all', select = NULL, Return the hexadecimal color specification The RColorBrewer package include also three important functions: # 1. The diverging palettes are : BrBG, PiYG, PRGn, PuOr, RdBu, RdGy, RdYlBu, RdYlGn, Spectral Diverging palettes (third list of colors), which put equal emphasis on mid-range critical values and extremes at both ends of the data range.The palettes names are : Accent, Dark2, Paired, Pastel1, Pastel2, Set1, Set2, Set3. They not imply magnitude differences between groups. Qualitative palettes (second list of colors), which are best suited to represent nominal or categorical data.The palettes names are : Blues, BuGn, BuPu, GnBu, Greens, Greys, Oranges, OrRd, PuBu, PuBuGn, PuRd, Purples, RdPu, Reds, YlGn, YlGnBu YlOrBr, YlOrRd. Sequential palettes (first list of colors), which are suited to ordered data that progress from low to high (gradient).

Create an r package in rstudio