General
PromptBeginner5 minmarkdownQuality: 24
cat(sprintf( Columns with NAs: %d of %d\n\n
length(colswithna)
0
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General
PromptBeginner5 minmarkdownQuality: 24
naflag <- if (nna == 0) " else sprintf( * %d NAs (%.1f%%)
n_na
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General
PromptBeginner5 minmarkdownQuality: 24
na_counts <- sapply(df
function(x) sum(is.na(x)))
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General
PromptBeginner5 minmarkdownQuality: 24
col
cls
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Data
PromptBeginner5 minmarkdownQuality: 24
check_data <- function(df
topnlevels = 8) {
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General
PromptBeginner5 minmarkdownQuality: 24
pct <- round(nna / nrow * 100
1)
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General
PromptBeginner5 minmarkdownQuality: 24
cat(sprintf( Rows: %d Columns: %d\n
n_row
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
1))
0
General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(2
2))
0
General
PromptBeginner5 minmarkdownQuality: 24
png(figure1_distributions.png
width = 1200
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Data
PromptBeginner5 minmarkdownQuality: 24
saveRDS(df
data_clean.rds)
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
1))
0
General
PromptBeginner5 minmarkdownQuality: 24
lmtest::coeftest(fit
vcov = sandwich::vcovHC(fit
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(2
2))
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Data
PromptBeginner5 minmarkdownQuality: 24
fitaov <- aov(outcomevar ~ group_var
data = df)
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General
PromptBeginner5 minmarkdownQuality: 24
col = hcl.colors(20
RdBu
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Data
PromptBeginner5 minmarkdownQuality: 24
t.test(outcomevar ~ groupvar
data = df)
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
1))
0
General
PromptBeginner5 minmarkdownQuality: 24
col = red
lwd = 2)
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General
PromptBeginner5 minmarkdownQuality: 24
cormat <- cor(df[numcols]
use = complete.obs)
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Data
PromptBeginner5 minmarkdownQuality: 24
abline(lm(outcome_var ~ predictor
data = df)
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General
PromptBeginner5 minmarkdownQuality: 24
plot(df$predictor
df$outcome_var
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General
PromptBeginner5 minmarkdownQuality: 24
col = adjustcolor(steelblue
alpha.f = 0.5)
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(2
2))
0