General
PromptBeginner5 minmarkdownQuality: 24
│ ├── dates-and-system.md # Date/POSIXct traps
options()
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Showing 24 of 131,256Categories: Data & Insights, Data, Communication, Coding & Debugging, General
General
PromptBeginner5 minmarkdownQuality: 24
│ ├── io-and-text.md # read.table
grep
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Data
PromptBeginner5 minmarkdownQuality: 24
│ ├── statistics.md # Hypothesis tests
distributions
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Data
PromptBeginner5 minmarkdownQuality: 24
│ ├── visualization.md # par
layout
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Data
PromptBeginner5 minmarkdownQuality: 24
│ ├── data-wrangling.md # Subsetting traps
apply family
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General
PromptBeginner5 minmarkdownQuality: 24
│ ├── modeling.md # Formula syntax
lm/glm/aov/nls
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General
PromptBeginner5 minmarkdownQuality: 28
If you're also someone who Googles how to drop NA rows in R every single time
this one's for you. 🫶
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Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28
I'm a political science PhD candidate who uses R regularly but would never call myself an R person....
without ggplot2
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General
PromptBeginner5 minmarkdownQuality: 24
cat(sprintf(Created: %s\n
out_file))
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General
PromptBeginner5 minmarkdownQuality: 24
scaffold_analysis(project
outcome = outcome
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General
PromptBeginner5 minmarkdownQuality: 24
project_name
project_name
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
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General
PromptBeginner5 minmarkdownQuality: 24
group
group
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
outcome
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General
PromptBeginner5 minmarkdownQuality: 24
group
group
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General
PromptBeginner5 minmarkdownQuality: 24
format(Sys.Date()
%%Y-%%m-%%d)
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Data
PromptBeginner5 minmarkdownQuality: 24
boxplot(%s ~ %s
data = df
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General
PromptBeginner5 minmarkdownQuality: 24
png(%s_boxplot.png
width = 800
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General
PromptBeginner5 minmarkdownQuality: 24
plot(fit
which = 1) # residuals vs fitted
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