将嵌套函数与lapply一起使用 [英] Using nested function with lapply

问题描述

此代码有效(耗时数分钟和几秒，仅转换为秒):

This code works (takes hours minutes and seconds and converts to seconds only):

library(lubridate)
library(tidyverse)


original_date_time<-"2018-01-3111:59:59"
period_to_seconds(hms(paste(hour(original_date_time), minute(original_date_time),second(original_date_time), sep = ":")))

我有这个小标题:

  df<-data.frame("id"=c(1,2,3,4,5), "Time"=c("1999-12-31 10:10:10","1999-12-31 09:05:13","1999-12-31 00:05:25","1999-12-31 07:04","1999-12-31 03:05:07"))
    tib<-as_tibble(df)
    tib

结果:

# A tibble: 5 x 2
     id Time               
  <dbl> <fct>              
1     1 1999-12-31 10:10:10
2     2 1999-12-31 09:05:13
3     3 1999-12-31 00:05:25
4     4 1999-12-31 07:04   
5     5 1999-12-31 03:05:07

现在，我想将更改时间的代码应用于tib$Time的每个单元格.我尝试过:

Now I want to apply that code that changes time above to every cell of tib$Time. I tried like:

time_converted_data_<-lapply(tib$Time, period_to_seconds(hms(paste(hour(tib$Time), minute(tib$Time),second(tib$Time), sep = ":"))))

但是它给了我错误:

Error in match.fun(FUN) : 
  c("'period_to_seconds(hms(paste(hour(tib$Time), minute(tib$Time), ' is not a function, character or symbol", "'    second(tib$Time), sep = \":\")))' is not a function, character or symbol")

该如何解决?我需要R基本版本和tidyverse版本.

How to fix that? I want both, R basic and tidyverse versions.

推荐答案

Base R

您的函数已向量化.所以，你可以做

Your function is vectorized. So, you could just do

period_to_seconds(hms(paste(hour(tib$Time), minute(tib$Time),second(tib$Time), sep = ":")))
#[1] 36600 32700   300 25440 11100

对于非矢量化函数，您可以尝试类似

For non vectorized functions, you could try something like

foo = function(x){
    period_to_seconds(hms(paste(hour(x), minute(x),second(x), sep = ":")))
}
lapply(tib$Time, foo)
#[[1]]
#[1] 36610

#[[2]]
#[1] 32713

#[[3]]
#[1] 325

#[[4]]
#[1] 25440

#[[5]]
#[1] 11107

这篇关于将嵌套函数与lapply一起使用的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！