stringr
A fresh approach to string manipulation in R (by tidyverse)
regexplain
🔍 An RStudio addin slash regex utility belt (by gadenbuie)
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stringr | regexplain | |
---|---|---|
13 | 2 | |
573 | 482 | |
1.6% | - | |
5.7 | 0.0 | |
13 days ago | over 2 years ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stringr
Posts with mentions or reviews of stringr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-09.
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Is there a better way to grep like this?
Perhaps str_extract_all() from stringr? (since you're already using dplyr)
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First time writing a script for automation
There are base R ways of finding strings grep(), as well as packages such as {stringer} (cheat sheet available here: https://stringr.tidyverse.org/)
- osdc-2023-assignment1
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how can i remove symbols from columns?
If you're unfamiliar with regex, it may help you review the stringr cheat sheet: https://stringr.tidyverse.org/
- Help Removing Double Quotes
- CLEANING DATA PROBLEM
- Recommendation for good reference materials on string/character operations in R
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Matching text strings
Without knowing more, it seems likely that some combination of stringr and fuzzyjoin will be what you need.
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HELP ME PLEASE!!!!
Search for info about the grepl-function and read the cheat sheet from the stringr-package, that should get you started: https://stringr.tidyverse.org/
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How to search a data table for multiple objects?
Looks like you have a misunderstanding about the right-most column. Don't think of the cell values as vectors of length=N elements, c("gene1", "gene2", ..."geneN"). Instead, think of each cell as a character string (vector of length=1), "gene 1, gene 2, ... geneN". Finding specific sequence of characters within a string is different from finding matching elements of vectors. Without changing the column, you can use regular expressions and base R string functions and/or stringr if you're more comfortable with tidyverse.
regexplain
Posts with mentions or reviews of regexplain.
We have used some of these posts to build our list of alternatives
and similar projects.
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Help, regular expressions! I am new to this and my phrasing might be wrong, I apologize for that.
Could try this: https://github.com/gadenbuie/regexplain
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My Mind cannot handle regex
you can try the regexplain addin to try and build a regex based upon your input. From just the single example, the following can work:
What are some alternatives?
When comparing stringr and regexplain you can also consider the following projects:
glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.
bracken_plot - A Shiny app for taxonomic abundance visualization
Biopython - Official git repository for Biopython (originally converted from CVS)
splitKbCompare - An interactive tool for comparing layouts of different split mechanical keyboards
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
shinyalert - 🗯️ Easily create pretty popup messages (modals) in Shiny
ggplot2 - An implementation of the Grammar of Graphics in R
CrispRVariants
dplyr - dplyr: A grammar of data manipulation