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箱圖-極端值檢驗查看全部
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數據分散趨勢的測量查看全部
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數據集中趨勢的測量查看全部
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觀測、變量、數據矩陣查看全部
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如何獲取幫助查看全部
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調色包：RColorBrewer查看全部
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數據特征查看全部
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分類變量類型查看全部
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數據變量和分類變量查看全部
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#全局參數 par("bg")#背景顏色 par("col")#顏色 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函數（數據集，函數） 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范圍內取值 fit <- lm(Temp ~ Wind, airquality) #在圖上加線，回歸線 abline(fit, lwd = 2) #讓線在圖中展示 legend("topright", pch = 1, col = c("red", "blue", "black"),legend = c("sep", "May", "Other")) #加上圖例，topright放在右上方查看全部
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數據分析注意問題查看全部
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#RColorBrewer包，三類調色板：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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完整的數據分析流程查看全部
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數據分析流程查看全部
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