string dateFrom = "5/4/2019";
DateTime result = (DateTime)dateFrom.DecodeUrl().ConvertDateTime();
// result "5/4/2019 12:00:00 AM"
//the result i want "2019-04-05"
df <- data.frame(
cola = c('1','b','c','1','1','e','1',NA,'c','d'),
colb = c("A",NA,"C","D",'a','b','c','d','c','d'),
colc = c('a','b','c','d','a','b','c','d','c','d'),stringsAsFactors = TRUE)
是df$cola
我想知道此列中有多少1 b c 1 1 e 1 <NA> c d
(答案是4),该怎么做?
答案 0 :(得分:2)
您可以在此处使用sum
num_ones <- sum(df$cola == "1", na.rm=TRUE)
num_ones
[1] 4
需要na.rm=TRUE
选项,因为如果没有该选项,则整个sum
操作将“ NA out”,并仅返回NA
。在这种情况下,我们可以忽略NA
值。