DataScienceR
design
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| DataScienceR | design | |
|---|---|---|
| 1 | 2 | |
| 1,959 | 210 | |
| - | 1.4% | |
| 0.0 | 8.4 | |
| about 1 year ago | 3 months ago | |
| R | R | |
| MIT License | GNU General Public License v3.0 or later |
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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.
DataScienceR
design
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What's the difference between "df[!x,]" and "df[-x,]"?
One way round it is the tidyverse, which has some well reasoned design principles. if you select rows/cols as a tidy filter or select operation then most of the potential bugs throw an error, for example, compare:
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Radian: A 21 century R console
I think the behavior is so inconsistent that it's not really justifiable: https://github.com/tidyverse/design/issues/13#issuecomment-4...
What are some alternatives?
badger - Badge for R Package
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
aor - 🎄📦 Advent of R: Utility Functions for the Advent of Code in R
ggplot2 - An implementation of the Grammar of Graphics in R
lab02_R_intro - Vežbe 2: Uvod u R
dplyr - dplyr: A grammar of data manipulation
awesome-computational-social-science - A list of awesome resources for Computational Social Science
awesome-R - A curated list of awesome R packages, frameworks and software.
R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
rmarkdown - Dynamic Documents for R
rlang - Low-level API for programming with R
wesanderson - A Wes Anderson color palette for R