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箱图-极端值检验查看全部
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数据分散趋势的测量查看全部
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数据集中趋势的测量查看全部
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观测、变量、数据矩阵查看全部
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如何获取帮助查看全部
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调色包：RColorBrewer查看全部
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数据特征查看全部
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分类变量类型查看全部
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数据变量和分类变量查看全部
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#全局参数 par("bg")#背景颜色 par("col")#颜色 par("mar")#(bottom,left,right, right) par("mfrow") par("mfcol") par(mfrow = c(1,2)) hist(airquality$Temp) hist(airquality$Wind) par(mfrow = c(1,1)) boxplot(airquality$Temp)查看全部
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hist(airquality$Wind, xlab = "wind") boxplot(airquality$Wind, xlab = "wind", ylab = "speed(mpc)") boxplot(Wind ~ Month, airquality, xlab = "wind", ylab = "speed(mpc)") plot(airquality$Wind, airquality$Temp) #使用with函数（数据集，函数） with(airquality, plot(Wind, Temp, main="Wind and Temp in NYC", type = "n")) with(subset(airquality, Month == 9), points(Wind, Temp, col = "red")) with(subset(airquality, Month == 5), points(Wind, Temp, col = "blue")) with(subset(airquality, Month %in% c(6,7,8)), points(Wind, Temp, col = "black")) #%in%c()指month在c范围内取值 fit <- lm(Temp ~ Wind, airquality) #在图上加线，回归线 abline(fit, lwd = 2) #让线在图中展示 legend("topright", pch = 1, col = c("red", "blue", "black"),legend = c("sep", "May", "Other")) #加上图例，topright放在右上方查看全部
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数据分析注意问题查看全部
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#RColorBrewer包，三类调色板：sequential，diverging，qualitative pal<-colorRamp(c("red","blue")) pal(0) pal(1) pal(0.5) pal(seq(0,1,len=10)) pal<-colorRampPalette(c("red","blue")) pal(0) pal(1) pal(0.5) pal(10) brewer.pal.info cols<-brewer.pal(3,"Greens") cols pal<-colorRampPalette(cols) pal image(volcano,col = pal(20)) display.brewer.pal(3,"Greens")查看全部
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完整的数据分析流程查看全部
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数据分析流程查看全部
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