General
PromptBeginner5 minmarkdownQuality: 24
project_name
project_name
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Showing 24 of 134,831Categories: Data, Coding & Debugging, General, Writing & Content, Cursor-rules
General
PromptBeginner5 minmarkdownQuality: 24
outcome
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General
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General
PromptBeginner5 minmarkdownQuality: 24
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General
PromptBeginner5 minmarkdownQuality: 24
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General
PromptBeginner5 minmarkdownQuality: 24
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
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General
PromptBeginner5 minmarkdownQuality: 24
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General
PromptBeginner5 minmarkdownQuality: 24
outcome
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General
PromptBeginner5 minmarkdownQuality: 24
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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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General
PromptBeginner5 minmarkdownQuality: 24
tapply(df$%s
df$%s
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Data
PromptBeginner5 minmarkdownQuality: 24
t.test(%s ~ %s
data = df)
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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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