[英]How to recode negative values in a set of variables based on if conditional statement in R?
R newbie here. R新手在这里。 I am currently trying to recode a set of variables in R, such that all negative values within them are recoded as positive values. 我目前正在尝试重新编码R中的一组变量,以使其中的所有负值都重新编码为正值。
Please find simulated data below: 请在下面找到模拟数据:
df <- data.frame(ID = c(1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011),
measure1 = rnorm(11, mean = 0, sd = 1),
measure2 = rnorm(11, mean = 0, sd = 1),
measure3 = rnorm(11, mean = 0, sd = 1),
measure4 = rnorm(11, mean = 0, sd = 1))
This is the function I've written so far: 这是我到目前为止编写的函数:
df[2:5] <- sapply(df[2:5], function(x) {
if(x<0) {
return(x*-1)
} else {
return(x)
}
})
although I recieve the following errors: 尽管我收到以下错误:
Warning messages:
1: In if (x < 0) { :
the condition has length > 1 and only the first element will be used
2: In if (x < 0) { :
the condition has length > 1 and only the first element will be used
3: In if (x < 0) { :
the condition has length > 1 and only the first element will be used
4: In if (x < 0) { :
the condition has length > 1 and only the first element will be used
Any ideas on how to make this work? 关于如何进行这项工作的任何想法?
Thanks! 谢谢!
您可以使用
df[, 2:5] <- abs(df[, 2:5])
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