1. explore :: intro

Published by onesixx on 17-06-1317-06-13

1. Generate questions about your data.
2. Search for answers by visualising, transforming, and modelling your data.
3. Use what you learn to refine your questions and/or generate new questions.
– workflow: basics, workflow: scripts, workflow: projects

R Tidyverse

factor

cha <- c("A","B","C","D","E") id <- as.factor(c(1,3,5)) cha[id] <- "F" cha [1] "F" "F" "F" "D" "E" cha[as.numeric(as.character(id))] <- "F" cha [1] "F" "B" "F" "D" "F" # factor의값은 level이다. id [1] 1 3 Read more…

R Tidyverse

4. Model :: intro

http://r4ds.had.co.nz/model-intro.html In model basics, you’ll learn how models work mechanistically, focusing on the important family of linear models. You’ll learn general tools for gaining insight into what a predictive model tells you about your Read more…

R Tidyverse

Iteration with map

https://onesixx.com/13-iterating-with-purrr/ http://r4ds.had.co.nz/iteration.html#the-map-functionshttps://www.rstudio.com/resources/videos/happy-r-users-purrr-tutorial/https://github.com/rstudio/rstudio-conf/tree/master/2017/Happy_R_Users_Purrr-Charlotte_Wickhamhttp://purrr.tidyverse.org/reference/map.htmlhttp://statkclee.github.io/parallel-r/ds-fp-purrr.htmlhttp://r4ds.had.co.nz/iteration.html#the-map-functions https://stackoverflow.com/questions/38403111/ways-to-add-multiple-columns-to-data-frame-using-plyr-dplyr-purrrhttps://www.r-bloggers.com/rebuilding-map-example-with-apply-functions/ purrr에서 map()만 사용한다면 큰 의미가 없다. https://jtr13.github.io/spring19/ss5593&fq2150.html purrr의 장점 일관된 문법 , 일관된 return type(sapply() & lapply()는 return이 상황에 따라 다르다.) Pipe사용가능 함수의 인수(mean()함수의 trim이나 na.rm )을 바로 붙여 사용할수 있다. map functions Read more…

1. explore :: intro

onesixx

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factor

4. Model :: intro

Iteration with map