janitor
datapasta
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| janitor | datapasta | |
|---|---|---|
| 2 | 3 | |
| 1,341 | 884 | |
| - | - | |
| 6.2 | 0.0 | |
| about 2 months ago | about 2 years ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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janitor
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Working with columns names that are numbers (in this case, years)
I would just clean the names and work with those. Then there is no need to use backticks. Read about the function clean_names in the janitor vignette: https://github.com/sfirke/janitor
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R Libraries Every Data Scientist Should Know - Pyoflife
I just stumbled across Janitor which can help you clean colum names easily.
datapasta
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How many ways to munge data into R? Which is the quickest, or most effective, what is reproducable?
I think you are looking for datapasta package. https://github.com/MilesMcBain/datapasta
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List of Free Agents
If you’re planning on importing the data into R, you can skip Excel altogether. Paste it as a tribble with the datapasta package/add-on.
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Monthly to quarterly
Next time, please post a small, sample dataset. If you use datapasta, you can copy and paste a tribble verison of your data into your RStudio session.
What are some alternatives?
tidyverse - Easily install and load packages from the tidyverse
dplyr - dplyr: A grammar of data manipulation
IntRo - Introduction to R for health data
esquisse - RStudio add-in to make plots interactively with ggplot2
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
excel.link - Convenient Data Exchange between R and Microsoft Excel
tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
xlsx - An R package to interact with Excel files using the Apache POI java library
desctable - An R package to produce descriptive and comparative tables
unpivotr - Unpivot complex and irregular data layouts in R
tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:
ggplot2 - An implementation of the Grammar of Graphics in R