本篇內(nèi)容介紹了“R語(yǔ)言數(shù)據(jù)框怎么合并-merge”的有關(guān)知識(shí),在實(shí)際案例的操作過(guò)程中,不少人都會(huì)遇到這樣的困境,接下來(lái)就讓小編帶領(lǐng)大家學(xué)習(xí)一下如何處理這些情況吧!希望大家仔細(xì)閱讀,能夠?qū)W有所成!
站在用戶的角度思考問(wèn)題,與客戶深入溝通,找到昂仁網(wǎng)站設(shè)計(jì)與昂仁網(wǎng)站推廣的解決方案,憑借多年的經(jīng)驗(yàn),讓設(shè)計(jì)與互聯(lián)網(wǎng)技術(shù)結(jié)合,創(chuàng)造個(gè)性化、用戶體驗(yàn)好的作品,建站類型包括:網(wǎng)站設(shè)計(jì)、成都網(wǎng)站制作、企業(yè)官網(wǎng)、英文網(wǎng)站、手機(jī)端網(wǎng)站、網(wǎng)站推廣、域名注冊(cè)、網(wǎng)頁(yè)空間、企業(yè)郵箱。業(yè)務(wù)覆蓋昂仁地區(qū)。> df1 = data.frame(CustomerId = c(1:6), Product = c(rep("Toaster", 3), rep("Radio", 3))) > df1 > CustomerId Product 1 1 Toaster 2 2 Toaster 3 3 Toaster 4 4 Radio 5 5 Radio 6 6 Radio > df2 = data.frame(CustomerId = c(2, 4, 6), State = c(rep("Alabama", 2), rep("Ohio", 1))) > df > CustomerId State 1 2 Alabama 2 4 Alabama 3 6 Ohio
> merge(x = df1, y = df2, by = "CustomerId", all = TRUE) > CustomerId Product State 1 1 Toaster <NA> 2 2 Toaster Alabama 3 3 Toaster <NA> 4 4 Radio Alabama 5 5 Radio <NA> 6 6 Radio Ohio
> merge(x = df1, y = df2, by = "CustomerId", all.x = TRUE) > CustomerId Product State 1 1 Toaster <NA> 2 2 Toaster Alabama 3 3 Toaster <NA> 4 4 Radio Alabama 5 5 Radio <NA> 6 6 Radio Ohio
> merge(x = df1, y = df2, by = "CustomerId", all.y = TRUE) > CustomerId Product State 1 2 Toaster Alabama 2 4 Radio Alabama 3 6 Radio Ohio
> merge(x = df1, y = df2, by = NULL) > CustomerId.x Product CustomerId.y State 1 1 Toaster 2 Alabama 2 2 Toaster 2 Alabama 3 3 Toaster 2 Alabama 4 4 Radio 2 Alabama 5 5 Radio 2 Alabama 6 6 Radio 2 Alabama 7 1 Toaster 4 Alabama 8 2 Toaster 4 Alabama 9 3 Toaster 4 Alabama 10 4 Radio 4 Alabama 11 5 Radio 4 Alabama 12 6 Radio 4 Alabama 13 1 Toaster 6 Ohio 14 2 Toaster 6 Ohio 15 3 Toaster 6 Ohio 16 4 Radio 6 Ohio 17 5 Radio 6 Ohio 18 6 Radio 6 Ohio
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