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2018/11/19. (本博客中使用的数据已全部替换为随机数) 在上一次的工作中,我将文件的批量处理执行地更加彻底,基本上驾轻就熟了。. 并且发现了plyr里很有用的工具:ldply来配合我的文件批处理。. 批量读取文件. months <- 201801:201810. jdall <- list() for(i in 1:length(months)){.
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Viewed 9k times. Part of R Language Collective. 15. Ultimately, I am trying to achieve something similar to the following, but leveraging dplyr instead of plyr: library (dplyr) probs = seq (0, 1, 0.1) plyr::ldply (tapply (mtcars$mpg, mtcars$cyl, function (x) { quantile (x, probs = probs) })) # .id 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% # 1 ...
Learn R Programming. plyr (version 1.8.9). Description. Usage Value
The package I am focusing on today is the plyr package. I am just going to barely dip into this package, as I am only go to cover two functions from the package (laply and ldply). I am covering these as I will be using them in a later lesson how to perform sentiment analysis on Twitter data.
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