Mapping color

Color chart with direct experience and decided to give the reader the impression charts, graphs beautiful natural article will give considerably. Therefore, learn to customize the color chart is very important.

3 color combinations (color obtain a set of color values) of the method.

The essence of color is to get a group with a very "harmonious" color. R in common with a color representation of hexadecimal color code, English code, the RGB color values in three ways. Common R color matching bag as RColorBrewer, ggsci, ggtech provide ready-made color matching program can be directly used. Below RColorBrewer example:

library(RColorBrewer)

display.brewer.all(type = "seq")

display.brewer.all(type = "qual")

Here only two types of color output, as in FIG.

colors1<-brewer.pal(9,"RdPu")

colors1

"#FFF7F3" "#FDE0DD" "#FCC5C0" "#FA9FB5""#F768A1" "#DD3497" "#AE017E" "#7A0177""#49006A"

colors1<-brewer.pal(9,"Dark2")

"#1B9E77" "#D95F02" "#7570B3" "#E7298A" "#66A61E" "#E6AB02" "#A6761D"
"#666666"

Another color Artifact: colortools

https://rpubs.com/gaston/colortools

Instructions:

安装 install.packages("colortools")

library(colortools)

#色轮的生成
wheel("darkblue", num = 12)
barplot(1:12,names.arg=my1,col=my1,las=2)

#单色搭配（Monochromatic ）色系的生成
sequential("red")
#类比色搭配（Analogous ）与补色/对比色搭配（Complement ）色轮可以方便地生成相邻、对比等色系

analogous("darkblue")
#Complementary color scheme

complementary("steelblue")

# define some colors some_colors = setColors("#3D6DCC", 15) # pizza plot pizza(some_colors) # analagous scheme for color "#3D6DCC" analogous("#3D6DCC") # complementary scheme for color "#3D6DCC" complementary("#3D6DCC") # split complementary scheme for color "#3D6DCC" splitComp("#3D6DCC") # triadic scheme for color "#3D6DCC" triadic("#3D6DCC") # tetradic scheme for color "#3D6DCC" tetradic("#3D6DCC") # square scheme for color "#3D6DCC" square("#3D6DCC") # sequential colors for "#3D6DCC" sequential("#3D6DCC")