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為什么我把ltyp=2后，出來(lái)的還是實(shí)線而不是虛線呢？查看全部
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分類變量*數(shù)值變量的可視化： 并排箱查看全部
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分散變量的可視化：<br> （1）單變量：頻率表、條形圖<br> （2）雙變量：關(guān)聯(lián)表（交叉表）、馬賽克圖 ；條形圖、相對(duì)頻率分段條形圖查看全部
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數(shù)值變量的可視化： （1）單變量：直方圖、箱圖 （2）多變量：散點(diǎn)圖查看全部
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數(shù)據(jù)變量的特征：<br> （1）集中趨勢(shì)：均值、中位數(shù)、眾數(shù)<br> （2）離散趨勢(shì)：值域、方差（標(biāo)準(zhǔn)差）、四分位距查看全部
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R中的數(shù)據(jù)類型：數(shù)值變量與分類變量查看全部
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分析結(jié)束后，還要思考分析結(jié)果之外的可能性查看全部
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設(shè)備種類查看全部
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library(ggplot2) ggplot(airquality, aes(Wind, Temp))+ geom_point(aes(color = factor(Month), group = 1,alpha = 0.4, size = 5))+ geom_smooth(method = "lm", se = F, aes(group = 1))#前一個(gè)group只輸出群體擬合,后一個(gè)控制再做一條群體擬合 ggplot(airquality, aes(Wind, Temp)) + geom_point()+ geom_smooth(method = "lm", se = F, aes(group = 1)) ggplot(airquality, aes(Wind, Temp, col = factor(Month))) + geom_point()+ geom_smooth(method = "lm", se = F, aes(group = 1))+ scale_color_manual("Month", values = myColors)+ facet_grid(.~Month)+ theme_classic()查看全部
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library(ggplot2) qplot(Wind, Temp, data = airquality, col = Month, shape = Month, size = Month, xlab = "Wind(mph)", ylab = "Temperature", main = "Wind vs.Temperature" ) qplot(Wind, Temp, data = airquality, geom = c("point", "smooth")) qplot(Wind, Temp, data = airquality, facets = Month~.) qplot(Wind, Temp, data = airquality, facets = .~Month) qplot(Wind, data = airquality, facets = .~Month) qplot(Wind, data = airquality, fill = Month) qplot(Wind, data = airquality, geom = "dotplot")查看全部
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#ggplot2繪圖系統(tǒng) #層(layer) #繪圖函數(shù):qplot() #ggplot():ggplot2核心,依靠創(chuàng)建層來(lái)繪圖.查看全部
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Layer(層)查看全部
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library(lattice) xyplot(Temp ~ Ozone, data = airquality) airquality$Month <- factor(airquality$Month) xyplot(Temp ~ Ozone | Month, data = airquality, layout = c(5,1)) q <- xyplot(Temp ~ Wind, data = airquality) print(q) set.seed(1) x <- rnorm(100) f <- rep(0:1, each=50) y <- x + f - f * x + rnorm(100, sd=0.5)#使用隨機(jī)數(shù)時(shí),切記使用種子,保證后期檢查,糾錯(cuò)方便. f <- factor(f, labels = c("Group1", "Group2")) xyplot(y ~ x | f, layout = c(2, 1)) xyplot(y ~ x | f, panel = function(x,y){ panel.xyplot(x,y) panel.abline(v = mean(x), h = mean(y), lty = 2) panel.lmline(x,y, col = "red") })查看全部
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#Lattice繪圖系統(tǒng) #xyplot/bwplot/histgram/stripplot/dotplot/splom/levelplot/contourplot #格式:xyplot(y ~ x|f * g, data) #panel,用來(lái)控制每個(gè)面板內(nèi)的繪圖 #lattice和Base的重要區(qū)別 #Base繪圖函數(shù)直接在圖形設(shè)備上繪圖 #Lattice繪圖函數(shù)返回trellis類對(duì)象 # 打印函數(shù)真正執(zhí)行了在設(shè)備上繪圖 # 命令執(zhí)行時(shí), trellis類對(duì)象會(huì)被自動(dòng)打印.查看全部
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#全局參數(shù) 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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