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Showing 24 of 113,453Categories: Data & Insights, Data, General
General
PromptBeginner5 minmarkdown

- Statistical modeling with `lm`

`glm`

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General
PromptBeginner5 minmarkdown

The reference files were condensed from the official R 4.5.3 manual — **19

518 lines → 945 lines** (95% reduction). Only the non-obvious stuff survived: gotchas

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General
PromptBeginner5 minmarkdown

│ └── misc-utilities.md # tryCatch

do.call

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General
PromptBeginner5 minmarkdown

│ ├── dates-and-system.md # Date/POSIXct traps

options()

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Data
PromptBeginner5 minmarkdown

│ ├── visualization.md # par

layout

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General
PromptBeginner5 minmarkdown

│ ├── io-and-text.md # read.table

grep

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Data
PromptBeginner5 minmarkdown

│ ├── statistics.md # Hypothesis tests

distributions

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General
PromptBeginner5 minmarkdown

│ ├── modeling.md # Formula syntax

lm/glm/aov/nls

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Data
PromptBeginner5 minmarkdown

│ ├── data-wrangling.md # Subsetting traps

apply family

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General
PromptBeginner5 minmarkdown

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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General
PromptBeginner5 minmarkdown

scaffold_analysis(project

outcome = outcome

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General
PromptBeginner5 minmarkdown

cat(sprintf(Created: %s\n

out_file))

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General
PromptBeginner5 minmarkdown

group

outcome

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General
PromptBeginner5 minmarkdown

project_name

project_name

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General
PromptBeginner5 minmarkdown

outcome

group

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General
PromptBeginner5 minmarkdown

group

group

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General
PromptBeginner5 minmarkdown

format(Sys.Date()

%%Y-%%m-%%d)

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Data
PromptBeginner5 minmarkdown

# boxplot(%s ~ %s

data = df

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General
PromptBeginner5 minmarkdown

par(mfrow = c(1

1))

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General
PromptBeginner5 minmarkdown

# png(%s_boxplot.png

width = 800

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General
PromptBeginner5 minmarkdown

plot(fit

which = 1) # residuals vs fitted

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General
PromptBeginner5 minmarkdown

par(mfrow = c(1

2))

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Data
PromptBeginner5 minmarkdown

# fit_aov <- aov(%s ~ %s

data = df)

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Data
PromptBeginner5 minmarkdown

# t.test(%s ~ %s

data = df)

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