使用lappy和purrr::map索引变量
我有这个使用lappy和purrr::map索引变量,r,R,我有这个数据框: dataset=structure(list(var1 = c(28.5627505742013, 22.8311421908438, 95.2216156944633, 43.9405107684433, 97.11211245507, 48.4108281508088), var2 = c(32.9009465128183, 54.1136392951012, 69.3181485682726, 70.2100433968008, 44.0986660309136,
数据框
:
dataset=structure(list(var1 = c(28.5627505742013, 22.8311421908438,
95.2216156944633,
43.9405107684433, 97.11211245507, 48.4108281508088), var2 = c(32.9009465128183,
54.1136392951012, 69.3181485682726, 70.2100433968008, 44.0986660309136,
62.8759404085577), var3 = c(89.6971945464611, 67.174579706043,
37.0924087055027, 87.7977314218879, 29.3221596442163, 37.5143952667713
), var4 = c(41.5336912125349, 98.2095112837851, 80.7970978319645,
91.1278881691396, 66.4086666144431, 69.2618868127465), var5 = c(33.9312525652349,
88.1815139763057, 98.4453701227903, 25.0217059068382, 41.1195872165263,
37.0983888953924), var6 = c(39.813664201647, 80.6405956856906,
30.0273275375366, 34.6203793399036, 96.5195455029607, 44.5830867439508
), kmeans = structure(c(2L, 1L, 3L, 1L, 3L, 1L), .Label = c("1",
"2", "3"), class = "factor")), .Names = c("var1", "var2", "var3",
"var4", "var5", "var6", "kmeans"), row.names = c(NA, 6L), class = "data.frame")
在data.frame
中使用lappy
和purrr::map
,结果正常。见:
lapply(dataset[c(1:6)],shapiro.test)
purrr::map(dataset[c(1:6)],shapiro.test)
嗯。现在,我想将其应用到列表中:
创建列表(mylist
):
之后,在lappy
和purrr::map
中应用此函数:
lapply(mylist[c(1:6)],f)
#Error: is.numeric(x) is not TRUE
purrr::map(mylist[c(1:6)],f)
#Error: is.numeric(x) is not TRUE
试试这个:
lapply(mylist[c(1:6)],function(x){
lapply(x,shapiro.test)
})
#Error: is.numeric(x) is not TRUE
lapply(mylist[c(1:6)],function(x){
lapply(x,f)
})
#Error in apply(x, 2, shapiro.test) : dim(X) must have a positive length
mylist[c(1:6)]%>%
map(~map(.,shapiro.test))
#Error: is.numeric(x) is not TRUE
mylist[c(1:6)]%>%
map(~map(.,f))
#Error in apply(x, 2, shapiro.test) : dim(X) must have a positive length
怎么了?应用
文档说明:
如果X不是数组,而是具有非空dim的类的对象
值(如数据帧),应用尝试将其强制到数组
如果是二维(如数据帧),则通过as.matrix或通过
as.array
由于每个数据帧的最后一列是一个因子(列集群
),因此as.matrix
调用将整行强制为字符向量(不接受该向量作为shapiro.test
的输入)
如果在apply
函数中仅选择数字列,则该功能将起作用
f<-function(x){
apply(x[c(1:6)],2 , shapiro.test)
}
lapply(mylist, f)
f
lapply(mylist[c(1:6)],function(x){
lapply(x,shapiro.test)
})
#Error: is.numeric(x) is not TRUE
lapply(mylist[c(1:6)],function(x){
lapply(x,f)
})
#Error in apply(x, 2, shapiro.test) : dim(X) must have a positive length
mylist[c(1:6)]%>%
map(~map(.,shapiro.test))
#Error: is.numeric(x) is not TRUE
mylist[c(1:6)]%>%
map(~map(.,f))
#Error in apply(x, 2, shapiro.test) : dim(X) must have a positive length
f<-function(x){
apply(x[c(1:6)],2 , shapiro.test)
}
lapply(mylist, f)