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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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
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outcome
group
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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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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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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
1))
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
2))
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General
PromptBeginner5 minmarkdownQuality: 24
tapply(df$%s
df$%s
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General
PromptBeginner5 minmarkdownQuality: 24
tapply(df$%s
df$%s
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General
PromptBeginner5 minmarkdownQuality: 24
cat(Dimensions:
dim(df)
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General
PromptBeginner5 minmarkdownQuality: 24
df <- df[complete.cases(df)
] # drop rows with any NA
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General
PromptBeginner5 minmarkdownQuality: 24
hist(df$%s
main = Distribution of %s
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