如何循环遍历 R 中的列并根据列名应用不同的函数
How to loop through columns in R and apply different functions based on column names
我想遍历数据框中的每一列,并根据列名在每一列上应用函数,如果列名是 abc
那么我希望 my.summary()
函数是在该列中生效,其余列应使用其他函数
x <- sapply(Data, as.numeric )
x[is.na(x)] <- 0
my.summary <- function(a){
c(
Worst_Decile = quantile(a,0.10),
Worst_Quartile = quantile(a,0.25),
median = median(a),
Best_Quartile = quantile(a,0.75),
Best_Decile = quantile(a,0.90)
)
}
LowIsBetter <- function(a){
c(
Worst_Decile = quantile(a,0.90),
Worst_Quartile = quantile(a,0.75),
median = median(a),
Best_Quartile = quantile(a,0.25),
Best_Decile = quantile(a,0.10)
)
}
for (i in colnames(x)){
if(i == "ABC"){
xy <- apply(x,2,my.summary)
}else{xy <- apply(x,2,LowIsBetter)}
}
数据框:
预期结果:
试试这个:
result <- sapply(colnames(x), function(col) {
if(col == 'abc') my.summary(x[, col])
else LowIsBetter(x[, col])
})
我想遍历数据框中的每一列,并根据列名在每一列上应用函数,如果列名是 abc
那么我希望 my.summary()
函数是在该列中生效,其余列应使用其他函数
x <- sapply(Data, as.numeric )
x[is.na(x)] <- 0
my.summary <- function(a){
c(
Worst_Decile = quantile(a,0.10),
Worst_Quartile = quantile(a,0.25),
median = median(a),
Best_Quartile = quantile(a,0.75),
Best_Decile = quantile(a,0.90)
)
}
LowIsBetter <- function(a){
c(
Worst_Decile = quantile(a,0.90),
Worst_Quartile = quantile(a,0.75),
median = median(a),
Best_Quartile = quantile(a,0.25),
Best_Decile = quantile(a,0.10)
)
}
for (i in colnames(x)){
if(i == "ABC"){
xy <- apply(x,2,my.summary)
}else{xy <- apply(x,2,LowIsBetter)}
}
数据框:
预期结果:
试试这个:
result <- sapply(colnames(x), function(col) {
if(col == 'abc') my.summary(x[, col])
else LowIsBetter(x[, col])
})