如何用 NA 填充空的 0 xn tibble

Question

I am using the gender package in R and unfortunately the gender function in that package returns blank tibbles when it cannot classify a name as male or female.

Is there a "purrr"- style way to apply the gender function so that empty tibbles of size nxm are replaced by NAs of size nxm in my output, so as to keep the row-size of the inputs and outputs to the gender function equal ?

我想找到一個不涉及為性別 function （如果可能）編寫包裝器的解決方案。

Answer 1

我會通過將名稱存儲在數據框列中來解決此問題，然后將gender()的結果連接回原始數據。

例如：

library(gender)

mydata <- data.frame(name = c("Neil", "Askey"), stringsAsFactors = FALSE)

merge(mydata, gender(mydata$name), all = TRUE)

結果：

   name proportion_male proportion_female gender year_min year_max
1 Askey              NA                NA   <NA>       NA       NA
2  Neil          0.9964            0.0036   male     1932     2012