🛠️ Master string comparison in R with practical examples and bonus tips! Whether you're dealing with case sensitivity or vector comparisons, this guide has you covered.
Read more and comment your experiences! https://www.spsanderson.com/steveondata/posts/2024-11-25/
#R #RStats #Programming #Code #Learn #Blog #RProgramming #strings #stringr #stringi
In today's blog post, I introduce the `grep()` function in R, a key tool for searching patterns in text data.
It allows case-sensitive searches by default but can perform case-insensitive searches with the `ignore.case` argument.
This flexibility is essential for text mining, data cleaning, and analysis. I outline the basic syntax, usage examples, and common mistakes.
Post: https://www.spsanderson.com/steveondata/posts/2024-09-04/
#R #RStats #RProgramming #Programming #Coding #textdata #stringr #grep
In today's blog post, I introduce the `grep()` function in R, a key tool for searching patterns in text data.
It allows case-sensitive searches by default but can perform case-insensitive searches with the `ignore.case` argument.
This flexibility is essential for text mining, data cleaning, and analysis. I outline the basic syntax, usage examples, and common mistakes.
Post: https://www.spsanderson.com/steveondata/posts/2024-09-04/
#R #RStats #RProgramming #Programming #Coding #textdata #stringr #grep
Effortlessly concatenate strings in R using base R, stringr, stringi, and glue.
Explore techniques to create employee summaries from name, job title, and salary data.
Each method has unique strengths - experiment to find the best fit for your projects.
Simplify string manipulation tasks and elevate your R skills.
#R #RStats #RProgramming #Programming #Coding #stringr #stringi #glue #TextManipulation #strings
Post: https://www.spsanderson.com/steveondata/posts/2024-08-13/
Effortlessly concatenate strings in R using base R, stringr, stringi, and glue.
Explore techniques to create employee summaries from name, job title, and salary data.
Each method has unique strengths - experiment to find the best fit for your projects.
Simplify string manipulation tasks and elevate your R skills.
#R #RStats #RProgramming #Programming #Coding #stringr #stringi #glue #TextManipulation #strings
Post: https://www.spsanderson.com/steveondata/posts/2024-08-13/
String concatenation is crucial in R for data manipulation.
Use paste() and paste0() in base R for simple concatenation.
The stringr package offers str_c() for consistent and readable concatenation.
The stringi package provides stri_c() for powerful customization.
The glue package allows embedding expressions within strings for simplicity.
Experiment with these methods to find the best fit for your needs.
Happy coding! 💻✨
String concatenation is crucial in R for data manipulation.
Use paste() and paste0() in base R for simple concatenation.
The stringr package offers str_c() for consistent and readable concatenation.
The stringi package provides stri_c() for powerful customization.
The glue package allows embedding expressions within strings for simplicity.
Experiment with these methods to find the best fit for your needs.
Happy coding! 💻✨
Question to #rstats enthusiasts: How are you dealing with NAs when using #str_detect?
str_detect(NA, regex("hello")) results in NA. This is expected behavior and I think I get the reasoning behind it.
In 99 % of my usecases though, I would like to have a FALSE as a result. Hence I need everytime an additional step to convert NAs to FALSE. I find this combersome.
I was wondering how others are dealing with such cases. Sometimes I think a pertaining option in #stringr would be nice....
This is a noob's observation of R, Tidyverse and Stringr. But wow, why can some datasets open in notepad or Windows file preview or excel in 1 second but takes minutes or hours to show up in str_view_all?
The {stringr} #rstats 📦 gets a function to convert a character vector into a single, comma-separated string *with custom wording before the last item.* (I've been using knits::combine_words() for that.)
Example from the tidyverse blog post about stringr 1.5.0:
str_flatten_comma(c("cats", "dogs", "mice"), last = ", and ")
#> [1] "cats, dogs, and mice"
