在计算标准差时,我有一个意想不到的[至少对我来说]错误。 想法[*]是将所有缺失值转换为1和0否则。 然后在完成关联之前提取具有一些[但不是全部]缺失值的变量。尝试使用sd函数进行提取步骤,但它失败了[为什么?]。
library(VIM)
data(sleep) # dataset with missing values
x = as.data.frame(abs(is.na(sleep))) # converts all NA to 1, otherwise 0
y = x[which(sd(x) > 0)] # attempt to extract variables with missing values
Error in is.data.frame(x) :
(list) object cannot be coerced to type 'double'
# convert to double
z = as.data.frame(apply(x, 2, as.numeric))
y = z[which(sd(z) > 0)]
Error in is.data.frame(x) :
(list) object cannot be coerced to type 'double'
[*] R in Action,Robert Kabacoff
答案 0 :(得分:16)
sd
已经不存在了:
> ## Build a db of all R news entries.
> db <- news()
> ## sd
> news(grepl("sd", Text), db=db)
Changes in version 3.0.3:
PACKAGE INSTALLATION
o The new field SysDataCompression in the DESCRIPTION file allows
user control over the compression used for sysdata.rda objects in
the lazy-load database.
Changes in version 3.0.0:
DEPRECATED AND DEFUNCT
o mean() for data frames and sd() for data frames and matrices are
defunct.
改为使用sapply(x, sd)
。