Data
PromptBeginner5 minmarkdownQuality: 24
│ ├── visualization.md # par
layout
0
Explore
Find agent skills by outcome
121,358 skills indexed with the new KISS metadata standard.
Showing 24 of 121,358Categories: General, Data, Openclaw
Data
PromptBeginner5 minmarkdownQuality: 24
│ ├── data-wrangling.md # Subsetting traps
apply family
0
General
PromptBeginner5 minmarkdownQuality: 24
│ ├── modeling.md # Formula syntax
lm/glm/aov/nls
0
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. 🫶
0
General
PromptBeginner5 minmarkdownQuality: 24
cat(sprintf(Created: %s\n
out_file))
0
General
PromptBeginner5 minmarkdownQuality: 24
scaffold_analysis(project
outcome = outcome
0
General
PromptBeginner5 minmarkdownQuality: 24
project_name
project_name
0
General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
0
General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
0
General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
0
General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
0
General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
0
General
PromptBeginner5 minmarkdownQuality: 24
outcome
group
0
General
PromptBeginner5 minmarkdownQuality: 24
group
group
0
General
PromptBeginner5 minmarkdownQuality: 24
outcome
outcome
0
General
PromptBeginner5 minmarkdownQuality: 24
group
group
0
General
PromptBeginner5 minmarkdownQuality: 24
format(Sys.Date()
%%Y-%%m-%%d)
0
Data
PromptBeginner5 minmarkdownQuality: 24
boxplot(%s ~ %s
data = df
0
General
PromptBeginner5 minmarkdownQuality: 24
png(%s_boxplot.png
width = 800
0
General
PromptBeginner5 minmarkdownQuality: 24
plot(fit
which = 1) # residuals vs fitted
0
General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
1))
0
Data
PromptBeginner5 minmarkdownQuality: 24
fit_aov <- aov(%s ~ %s
data = df)
0
General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
2))
0
Data
PromptBeginner5 minmarkdownQuality: 24
fit <- lm(%s ~ %s
data = df)
0