for (i in 1:5) {
dat <- rbind(dat, read.csv(files_full[i]))
works, but
工作，但
dat <- rbind(dat, read.csv(files_full[1:5]))
doesn't:
不会：
Error in file(file, "rt") : invalid 'description' argument
文件错误（文件，“rt”）：无效的'description'参数
files_full returns this:
files_full返回：
[1] "diet_data/Andy.csv" "diet_data/David.csv" "diet_data/John.csv"
[4] "diet_data/Mike.csv" "diet_data/Steve.csv"
from this exercise: https://github.com/rdpeng/practice_assignment/blob/master/practice_assignment.rmd
从这个练习：https：//github.com/rdpeng/practice_assignment/blob/master/practice_assignment.rmd
1 个解决方案
#1
1
rbind() is meant to bind all it's parameters, not elements contained in lists inside of its parameters. For example
rbind（）用于绑定其所有参数，而不是绑定在其参数内的列表中的元素。例如
dat <- rbind(read.csv(files_full[1]), read.csv(files_full[2], read.csv(files_full[3])
would work. If you want to turn a list into parameter, you use do.call
会工作。如果要将列表转换为参数，请使用do.call
dat <- do.call("rbind", Vectorize(read.csv, SIMPLIFY = FALSE)(files_full))
Here I used Vectorize() to allow read.csv to return a list when given a vector of file names.
在这里，我使用Vectorize（）来允许read.csv在给定文件名向量时返回一个列表。
#1
1
rbind() is meant to bind all it's parameters, not elements contained in lists inside of its parameters. For example
rbind（）用于绑定其所有参数，而不是绑定在其参数内的列表中的元素。例如
dat <- rbind(read.csv(files_full[1]), read.csv(files_full[2], read.csv(files_full[3])
would work. If you want to turn a list into parameter, you use do.call
会工作。如果要将列表转换为参数，请使用do.call
dat <- do.call("rbind", Vectorize(read.csv, SIMPLIFY = FALSE)(files_full))
Here I used Vectorize() to allow read.csv to return a list when given a vector of file names.
在这里，我使用Vectorize（）来允许read.csv在给定文件名向量时返回一个列表。