buillee buillee

R

• Relational Data

  R 2018. 8. 4. 09:52

  Relational Data 1. Mutating joins 2. Filtering joins 3. Set operations

  Read More
• readr package

  R 2018. 8. 3. 16:19

  read_csv() : comma separated (CSV) filesread_tsv() : tab separated filesread_delim() : general delimited filesread_fwf() : fixed width filesread_table() : tabular files where colums are separated by white-space.read_log() : web log files

  Read More
• Data Wrangling

  R 2018. 8. 3. 15:55

  Data Wrangling 1. Tibbles with tibble 2. Data import with readr 3. Tidy data with tidyr 4. Relational data with dplyr 5. Strings with stringr 6. Factors with forcats 7. Dates and times with lubridate

  Read More
• 사이트

  R/TimeSeries 2018. 8. 3. 15:18

  https://otexts.org/fpp2/

  Read More
• R Graphic Cook Book

  R 2018. 8. 3. 15:10

  http://www.cookbook-r.com/Graphs/

  Read More
• Patterns

  R 2018. 8. 3. 14:37

  Patterns Q. Could this pattern be due to coincidence(i.e., random chance)?Q. How can you describe the relationship implied by the pattern?Q. How strong is the relationship implied by the pattern?Q. What other variables might affect the relationship?Q. Does the relationship change if you look at individual subgroups of the data? [출처] R for Data Science, Hadley Wickham & Garrett Grolemund, O'REILL..

  Read More
• boxplot with tidyverse package

  R 2018. 8. 3. 14:32

  tidyverse 패키지에서 제공하는 함수를 이용하여 두 개의 양적 자료를 이용하여 집단별 상자그림을 다음과 같이 작성할 수 있다. install.packages("tidyverse") library(tidyverse) # 1. carat를 구간의 폭이 0.1를 갖는 상자그림 diamonds %>% ggplot2::ggplot(mapping = aes(x = carat, y = price)) + geom_boxplot(mapping = aes(group = cut_width(x = carat, width = 0.1))) # 2. carat에 대해 구간의 개수가 20개 되는 상자그림 diamonds %>% ggplot2::ggplot(mapping = aes(x = carat, y = price)) + g..

  Read More
• heatmap with tidyverse package

  R 2018. 8. 3. 14:05

  tidyverse 패키지를 이용하여 두 개의 질적 자료(범주형 자료)에 대한 heatmap를 다음과 같이 작성할 수 있다. install.packages("tidyverse")library(tidyverse)diamonds %>% dplyr::count(cut, color) %>% ggplot2::ggplot(mapping = aes(x = cut, y = color)) + geom_tile(mapping = aes(fill = n)) [출처] R for Data Science, Hadley Wickham & Garrett Grolemund, O'REILLY, p100~101

  Read More