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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Find agent skills by outcome
142,222 skills indexed with the new KISS metadata standard.
Showing 24 of 142,222Categories: Coding & Debugging, Writing & Content, Data, Creative, General
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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Writing & Content
PromptBeginner5 minmarkdownQuality: 24
writeLines(template
out_file)
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General
PromptBeginner5 minmarkdownQuality: 24
project_name
project_name
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
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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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Writing & Content
PromptBeginner5 minmarkdownQuality: 24
write.csv(df
%s_clean.csv
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
1))
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Data
PromptBeginner5 minmarkdownQuality: 24
fit_aov <- aov(%s ~ %s
data = df)
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
2))
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Data
PromptBeginner5 minmarkdownQuality: 24
fit <- lm(%s ~ %s
data = df)
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