计算数据帧中每行的NA [英] Count NAs per row in dataframe

问题描述

我有一个具有批次ID的数据框，并且对每个批次执行了六次测试的结果.数据如下:

I've got dataframe that has batch ID and the results of six tests performed on each batch. The data looks like this:

batch_id  test1  test2  test3  test4  test5  test6
001       0.121     NA  0.340  0.877  0.417  0.662
002       0.229  0.108     NA  0.638     NA  0.574

(此数据框中有几百行，每个batch_id仅一行)

(there are a few hundred rows in this dataframe, only one row per batch_id)

我正在寻找一种方法来计算每个batch_id(每行)有多少个NA.我觉得最多只用几行R代码就可以做到这一点，但是我很难对它进行编码. 有什么想法吗?

I'm looking for a way to count how many NAs there are for each batch_id (for each row). I feel like this should be do-able with a few lines of R code at the most, but I'm having trouble actually coding it. Any ideas?

推荐答案

您可以在数据框中添加一个新列，其中包含每个batch_id的NA个值的数量:

You could add a new column to your data frame containing the number of NA values per batch_id:

df$na_count <- apply(df, 1, function(x) sum(is.na(x)))

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