我的目标是创建一个for循环,以将数据集的某些特定列转换为因子或整数。
条件将基于列的名称。
# Here is a small reproducible dataset
df <- data.frame(x = c(10,20,30), y = c("yes", "no", "no"), z = c("Big", "Small", "Average"))
# here is a vector that we are going to use inside our if statement
column_factor_names <- c("y", "z")
# for each column in df
for (i in names(df)) {
print(i)
# if it's a factor, convert into factor, else convert it into integer
if (i %in% column_factor_names) {
print("it's a factor")
df$i <- as.factor(df$i)
} else {
print("it's an integer")
df$i <- as.integer(df$i)
}
}
运行此命令,我得到:Error in `$<-.data.frame`(`*tmp*`, "i", value = integer(0)) :
replacement has 0 rows, data has 3
问题在于if-else语句中的行df$i <- as.factor(df$i)
和df$i <- as.integer(df$i)
。
但是我不理解的是,当我手动运行它时。 例如:
df$"x" <- as.integer(df$"x")
df$"y" <- as.factor(df$"y")
df$"z" <- as.factor(df$"z")
str(df)
正在工作:
'data.frame': 3 obs. of 3 variables:
$ x: int 10 20 30
$ y: Factor w/ 2 levels "no","yes": 2 1 1
$ z: Factor w/ 3 levels "Average","Big",..: 2 3 1
我的问题是:为什么在for循环和if语句中不起作用?
答案 0 :(得分:2)
在您的代码中,子集函数$
查找名为i
的列,而不是求值i
。您可以选择使用[, i]
或[[i]]
来不同地子集data.frame:
x <- data.frame(x = c(10,20,30), y = c("yes", "no", "no"), z = c("Big", "Small", "Average"))
# here is a vector that we are going to use inside our if statement
column_factor_names <- c("y", "z")
# for each column in df
for (i in names(df)) {
print(i)
# if it's a factor, convert into factor, else convert it into integer
if (i %in% column_factor_names) {
print("it's a factor")
x[[i]] <- as.factor(x[[i]])
} else {
print("it's an integer")
x[[i]] <- as.integer(x[[i]])
}
}
有关更多信息,请参见help("$")
。
如果您不介意丢失状态消息,则也可以无需循环就可以做到:
x[, i] <- as.factor(x[, i])
答案 1 :(得分:1)
针对您的循环部分更正的代码是:
# Here is a small reproducible dataset
df <- data.frame(x = c(10,20,30), y = c("yes", "no", "no"), z = c("Big", "Small", "Average"))
# here is a vector that we are going to use inside our if statement
column_factor_names <- c("y", "z")
for (i in names(df)) {
print(i)
if (i %in% column_factor_names) {
print("it's a factor")
df[,i] <- as.factor(df[,i])
} else {
print("it's an integer")
df[,i] <- as.numeric(df[,i])
}
}