使用XLConnect读取.xls文件，该文件缺少值

When using XLConnect to read in a .xls file how do you set missing values. Similar to the na.string==c() argument in read.csv.

当使用XLConnect读取.xls文件时，如何设置丢失的值。在read.csv中类似于na.string==c()参数。

My current R code looks like this:

我现在的R代码是这样的:

install.packages("XLConnect")
library(XLConnect)

excel.file <- file.path(".../FakeData.xls")
fake2 <- readWorksheetFromFile(excel.file, sheet="Sheet1", header=TRUE)

My fake data look like this:

我的假数据是这样的:

ID  Age Weight      Gender
1   30  55          M
2   22  NA          F
3   33  80          NA

I want my NA values to be interpreted as missing, so that Weight and Gender are read into R as numeric/factor variables, respectively. Currently, they are being converted into character variables because of the NA values.

我希望我的NA值被解释为缺失，以便将权重和性别分别读入R作为数值/因子变量。目前，由于NA的值，它们被转换为字符变量。

When I try:

当我尝试:

setMissingValue(fake2, value = c("NA"))

I get the following error:

我得到以下错误:

Error in (function (classes, fdef, mtable)  : 
unable to find an inherited method for function ‘setMissingValue’ for signature ‘"data.frame"’

1 个解决方案

#1

You have to call setMissingValue on a workbook object not on the filename.

您必须在工作簿对象上调用setMissingValue而不是在文件名上。

wb <- loadWorkbook(excel.file)
setMissingValue(wb, value = c(""))

fake2 <- readWorksheet(wb, sheet="Sheet1", header=TRUE)