发现tidyverse的drop_na函数,当面对多个列时,它的选择是“或”,即是只有有有一列有缺失,都删掉。有时候我们想将两列都为缺失的删掉,如果只有一列有缺失,要保留。 举个例子: 示例数据: set.seed(123) dat = data.frame(ID = 1:10,y1 = c(NA,NA,1.05,NA,rnorm(6)), y2 = c(1,N...
A 25 #> 4 versicolor B 25 #> 5 virginica B 25 #> 6 virginica C 25 #> 7 empty_level <NA> 0 # Turn group2 into a factor iris$group2 = factor(iris$group2) # Now all possible combinations of Species and group2 are included in the output, # whether present in the data or not...
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tidyverse_conflicts() -- x dplyr::filter() masks stats::filter() x dplyr::lag() masks stats::lag() > data_path <- "data" > dir.create(data_path, recursive = TRUE) Warning message: In dir.create(data_path, recursive = TRUE) : 'data'已存在 > for (i in unique(x[["data"]]...