General
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cat(sprintf( Rows: %d Columns: %d\n
n_row
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General
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par(mfrow = c(1
1))
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General
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par(mfrow = c(2
2))
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General
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png(figure1_distributions.png
width = 1200
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Writing & Content
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write.csv(df
data_clean.csv
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General
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par(mfrow = c(1
1))
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General
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lmtest::coeftest(fit
vcov = sandwich::vcovHC(fit
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General
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par(mfrow = c(2
2))
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General
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col = hcl.colors(20
RdBu
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General
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par(mfrow = c(1
1))
0
General
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col = red
lwd = 2)
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General
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cormat <- cor(df[numcols]
use = complete.obs)
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General
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plot(df$predictor
df$outcome_var
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General
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col = adjustcolor(steelblue
alpha.f = 0.5)
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General
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par(mfrow = c(2
2))
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General
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prop.table(table(df$group
df$category)
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General
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))
3)
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General
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table(df$group
df$category
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General
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median = median(x
na.rm = TRUE)
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General
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max = max(x
na.rm = TRUE)
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General
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min = min(x
na.rm = TRUE)
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General
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mean = mean(x
na.rm = TRUE)
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General
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sd = sd(x
na.rm = TRUE)
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General
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round(sapply(df[num_cols]
function(x) c(
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