General
PromptBeginner5 minmarkdownQuality: 24
col = c(red
blue)
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General
PromptBeginner5 minmarkdownQuality: 24
plot(x
y)
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General
PromptBeginner5 minmarkdownQuality: 24
legend(topright
legend = c(A
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(1
1)) # reset
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General
PromptBeginner5 minmarkdownQuality: 24
png(plot.png
width = 800
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General
PromptBeginner5 minmarkdownQuality: 24
par(mfrow = c(2
2)) # 2x2 grid
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General
PromptBeginner5 minmarkdownQuality: 24
col = lightyellow
main = By Group)
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General
PromptBeginner5 minmarkdownQuality: 24
main = Distribution
xlab = Value)
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General
PromptBeginner5 minmarkdownQuality: 24
barplot(table(df$category)
main = Counts
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General
PromptBeginner5 minmarkdownQuality: 24
hist(x
breaks = 30
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General
PromptBeginner5 minmarkdownQuality: 24
col = lightblue
las = 2)
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General
PromptBeginner5 minmarkdownQuality: 24
pch = 19
col = steelblue
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General
PromptBeginner5 minmarkdownQuality: 24
lines(x
y2
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General
PromptBeginner5 minmarkdownQuality: 24
plot(x
y
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General
PromptBeginner5 minmarkdownQuality: 24
chunk <- readLines(con
n = 100)
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General
PromptBeginner5 minmarkdownQuality: 24
plot(x
y
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General
PromptBeginner5 minmarkdownQuality: 24
con <- file(big.csv
r)
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General
PromptBeginner5 minmarkdownQuality: 24
RDS (single R object
preserves types)
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General
PromptBeginner5 minmarkdownQuality: 24
save(df1
df2
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General
PromptBeginner5 minmarkdownQuality: 24
grepl(pattern
x) # logical vector
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General
PromptBeginner5 minmarkdownQuality: 24
strsplit(a
b
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General
PromptBeginner5 minmarkdownQuality: 24
grep(pattern
x) # indices of matches
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General
PromptBeginner5 minmarkdownQuality: 24
substr(hello
1
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General
PromptBeginner5 minmarkdownQuality: 24
gsub(old
new
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