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Stringr Alternatives
Similar projects and alternatives to stringr
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cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/. (by rstudio)
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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glue
Glue strings to data in R. Small, fast, dependency free interpreted string literals. (by tidyverse)
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SaaSHub
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tidyethnicnews
R package for turning Ethnic NewsWatch search results into tidyverse-ready dataframes
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stringr discussion
stringr reviews and mentions
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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.
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tidyverse/stringr is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of stringr is R.