WebFeb 19, 2015 · I certainly don't mean that you must add all possible solutions to your answer - nor do I want a debate about the relative merits of dplyr and data.table. I wouldn't have said anything at all if the question itself wasn't so focused on dplyr. If your amenable, I would make a friendly edit to add a demonstration of the same technique with dplyr ...
How do I filter a range of numbers in R? - Stack Overflow
WebApr 13, 2024 · R has many great tools for data wrangling. Two of those are the dplyr and data.table packages. While dplyr has very flexible and intuitive syntax, data.table can be orders of magnitude faster in some scenarios. One of those scenarios is when performing operations over a very large number of groups. Web• Utilized various R packages such as Ggplot2, dplyr, data-table, SparkR, rpart, R shiny to perform complex data analysis. • Working with SciPy, NumPy, and Matplotlib libraries for developing ... inboundware
Fast Transition Between dplyr and data.table by Nata …
WebMay 21, 2024 · Since data.table 1.12.4 (Oct 2024), data.table gains two functions to facilitate this: nafill and setnafill. nafill operates on columns: cols = c ('a', 'b') y [ , (cols) := lapply (.SD, nafill, fill=0), .SDcols = cols] setnafill operates on tables (the replacements happen by-reference/in-place) WebJun 11, 2024 · Edit with dplyr >=1.0 One can also use across (), which is slightly more verbose in this case: x %>% bind_rows (summarise (., across (where (is.numeric), sum), across (where (is.character), ~"Total"))) Share Improve this answer Follow edited Nov 27, 2024 at 20:06 answered May 14, 2024 at 2:02 Matifou 7,675 3 46 49 Web2 days ago · The. styledtable. package in R, which allows users to create styled tables in R Markdown documents. The package can help to create tables with various formatting options such as bold text, colored cells, and borders. It also has functionality on how to port these to Excel itself. The package offers a simple syntax that allows users to specify ... inboundwhisper