作者celestialgod (天)
看板R_Language
标题Re: [问题] list问题
时间Thu Jan 12 18:36:57 2017
※ 引述《aa955260 (aa955260)》之铭言：
: [问题类型]:
: 程式谘询(我想用R 做某件事情，但是我不知道要怎麽用R 写出来)
: [软体熟悉度]:
: 入门(写过其他程式，只是对语法不熟悉)
: [问题叙述]:
: 各位大大好，我的资料集内有多个人(sub.list)，每个人下面有3种不同状态(stat.list)
: ，每种状态下有3种不同的状况(level.list)，目前我是用for-loop来分别读取2维的
: data.frame(A, B, C)，我想做的是用Scal.list将3种不同level.list的资料与名称包起
: 来，再用All.list把3种不同stat.list的资料与名称包起来，做成1个大的All.list。以
: 下为错误范例，请问我该怎麽修改会比较好呢？或是有没有其他更好的写法呢？
: 感谢
: [程式范例]:
: sub.list <- list("001", "002", "003")
: stat.list <- list("High", "Low", "None")
: level.list <- list("Light", "Moderate", "Vigorous")
: Scal.list <- list()
: All.list <- list()
: for(i in 1:length(sub.list)){
: for(j in 1:length(stat.list)){
: A_path <- paste0(data.path, sub.list[i], "\\", stat.list[j]
: ,"\\", level.list[1], ".csv")
: A <- fread(A_path, header = T)
: B_path <- paste0(data.path, sub.list[i], "\\", stat.list[j]
: , "\\", level.list[2], ".csv")
: B <- fread(B_path , header = T)
: C_path <- paste0(data.path, sub.list[i], "\\", stat.list[j]
: , "\\", level.list[3], ".csv")
: C <- fread(C_path, header = T)
: t.list <- list()
: t.list <- list(A, B, C)
: names(t.list)[1] <- level.list[1]
: names(t.list)[2] <- level.list[2]
: names(t.list)[3] <- level.list[3]
: Scal.list[[length(Scal.list)+1]] <- t.list
: }
: All.list[[length(All.list)+1]] <- Scal.list
: }
: [环境叙述]:
: R version 3.3.2 (2016-10-31)
: Platform: x86_64-w64-mingw32/x64 (64-bit)
: Running under: Windows >= 8 x64 (build 9200)
: locale:
: [1] LC_COLLATE=Chinese (Traditional)_Taiwan.950 LC_CTYPE=Chinese
: (Traditional)_Taiwan.950
: [3] LC_MONETARY=Chinese (Traditional)_Taiwan.950 LC_NUMERIC=C
: [5] LC_TIME=Chinese (Traditional)_Taiwan.950
: attached base packages:
: [1] stats graphics grDevices utils datasets methods base
: loaded via a namespace (and not attached):
: [1] tools_3.3.2
: [关键字]:
:
: 多层list、多层回圈读档
:
library(data.table)
subVec <- c("001", "002", "003")
statVec <- c("High", "Low", "None")
levelVec <- c("Light", "Moderate", "Vigorous")
# data.frame做法
DF <- expand.grid(sub = subVec, stat = statVec, level = levelVec)
DF <- transform(DF, path = paste0(dataPath, "/", sub, "/", stat,
"/", level, ".csv"))
# data.table做法
DT <- CJ(sub = subVec, stat = statVec, level = levelVec)
DT[ , path := paste0(dataPath, "/", sub, "/", stat, "/", level, ".csv")]
# 读档
sapply(DT$path, fread, header = TRUE)
--
R资料整理套件系列文：
magrittr #1LhSWhpH (R_Language) https://goo.gl/72l1m9
data.table #1LhW7Tvj (R_Language) https://goo.gl/PZa6Ue
dplyr(上.下) #1LhpJCfB,#1Lhw8b-s (R_Language) https://goo.gl/I5xX9b
tidyr #1Liqls1R (R_Language) https://goo.gl/i7yzAz
pipeR #1NXESRm5 (R_Language) https://goo.gl/zRUISx
--
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