Row & Column Operations Using dplyr in R | Select, mutate, rename, arrange, slice, filter, count скачать в хорошем качестве

Row & Column Operations Using dplyr in R | Select, mutate, rename, arrange, slice, filter, count

How to perform row and column operations using the dplyr package in R programming. More details in my comprehensive online course on Data Manipulation in R Using dplyr & the tidyverse: https://statisticsglobe.com/online-co... R code of this video: install.packages("dplyr") # Install & load dplyr library("dplyr") my_df ＜- data.frame(x1 = c(1, 5, 3, 8, 8, 5), # Create example data x2 = 6:1, x3 = letters[1:3]) my_df # Print example data my_df %＞% # Select specific columns select(x1, x3) my_df %＞% # Create new column mutate(x4 = x1 + x2) my_df %＞% # Rename column rename(new_x1 = x1) my_df %＞% # Arrange rows ascendingly arrange(x2) my_df %＞% # Select first rows slice(1:3) my_df %＞% # Filter rows conditionally filter(x1 ＞ 4) my_df %＞% # Count rows by group count(x3) my_df %＞% # Summarize data by group group_by(x3) %＞% summarize(mean_x1 = mean(x1)) Follow me on Social Media: Facebook – Statistics Globe Page:   / statisticsglobecom   Facebook – R Programming Group for Discussions & Questions:   / statisticsglobe   Facebook – Python Programming Group for Discussions & Questions:   / statisticsglobepython   LinkedIn – Statistics Globe Page:   / statisticsglobe   LinkedIn – R Programming Group for Discussions & Questions:   / 12555223   LinkedIn – Python Programming Group for Discussions & Questions:   / 12673534   Twitter:   / joachimschork   Instagram:   / statisticsglobecom   TikTok:   / statisticsglobe