R语言 马赛克图

时间:2022-07-22
本文章向大家介绍R语言 马赛克图,主要内容包括其使用实例、应用技巧、基本知识点总结和需要注意事项,具有一定的参考价值,需要的朋友可以参考一下。

马赛克图是《R语言实战》书籍开篇中的彩图,偶然遇到了学习分享一下~

Library(vcd)
mosaic(Titanic,shade=T,legend=T)
mosaic(~Class+Sex+Age+Survived,data=Titanic,shade=T,legend=T) #等价于mosaic(Titanic,shade=T,legend=T)

注意:mosaicplot和mosaic绘制马赛克图是基于多(二维以上)列联表。

01

mosaicplot {graphics}

mosaicplot是R语言graphics图形系统中自带的马赛克图绘图函数,用法如下:

## (默认方法:直接以数据集输入)Default S3 method:
mosaicplot(x, main = deparse1(substitute(x)),
           sub = NULL, xlab = NULL, ylab = NULL,
           sort = NULL, off = NULL, dir = NULL,
           color = NULL, shade = FALSE, margin = NULL,
           cex.axis = 0.66, las = par("las"), border = NULL,
           type = c("pearson", "deviance", "FT"), ...)

## (函数形式)S3 method for class 'formula'
mosaicplot(formula, data = NULL, ...,
           main = deparse1(substitute(data)), subset,
           na.action = stats::na.omit)
require(stats)
# 图1
mosaicplot(Titanic, main = "Survival on the Titanic - 图1", color = TRUE)

## Formula interface for tabulated data:
# 图2
mosaicplot(~ Sex + Age + Survived, data = Titanic, main = "Survival on the Titanic - 图2",color = TRUE)

注意:mosaicplot和mosaic绘制马赛克图是基于多(二维以上)列联表。

02

mosaic {vcd}

## Default S3 method:
mosaic(x, condvars = NULL,
  split_vertical = NULL, direction = NULL, spacing = NULL,
  spacing_args = list(), gp = NULL, expected = NULL, shade = NULL,
  highlighting = NULL, highlighting_fill = rev(gray.colors(tail(dim(x), 1))),
  highlighting_direction = NULL,
  zero_size = 0.5, zero_split = FALSE, zero_shade = NULL,
  zero_gp = gpar(col = 0), panel = NULL, main = NULL, sub = NULL, ...)

## S3 method for class 'formula'
mosaic(formula, data, highlighting = NULL,
  ..., main = NULL, sub = NULL, subset = NULL, na.action = NULL)

第1步:了解一下列联表分析

列联分析参考:https://mp.weixin.qq.com/s/URD3Lz69fY8CKdKT3IcNJQ

head(mtcars, 2)
# > head(mtcars, 2)
# mpg cyl disp  hp drat    wt  qsec vs am gear carb
# Mazda RX4      21   6  160 110  3.9 2.620 16.46  0  1    4    4
# Mazda RX4 Wag  21   6  160 110  3.9 2.875 17.02  0  1    4    4

df <- xtabs(~ cyl + gear + vs, data = mtcars)

# > df
# , , vs = 0
# 
# gear
# cyl  3  4  5
# 4  0  0  1
# 6  0  2  1
# 8 12  0  2
# 
# , , vs = 1
# 
# gear
# cyl  3  4  5
# 4  1  8  1
# 6  2  2  0
# 8  0  0  0

第2步:mosaic绘制马赛克图

## 图3
mosaic(df, main = "图3") # 图3


## 图4 公式模式:
## df <- xtabs(~ cyl + gear + vs, data = mtcars) 
mosaic(~ cyl + gear + vs, data = mtcars,
       main = "图4", shade = TRUE, legend = TRUE)


## 图5
data("PreSex")
mosaic(PreSex, condvars = c(1,4))
mosaic(~ ExtramaritalSex + PremaritalSex | MaritalStatus + Gender,
       data = PreSex, main = "图5")