General
PromptBeginner5 minmarkdown
df[order(-df$value)
] # descending
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General
PromptBeginner5 minmarkdown
df[order(df$value)
] # ascending
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General
PromptBeginner5 minmarkdown
varying = list(c(v1
v2))
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General
PromptBeginner5 minmarkdown
idvar = id
timevar = time
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General
PromptBeginner5 minmarkdown
wide <- reshape(long
direction = wide
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General
PromptBeginner5 minmarkdown
long <- reshape(wide
direction = long
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General
PromptBeginner5 minmarkdown
merged <- merge(df1
df2
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General
PromptBeginner5 minmarkdown
merged <- merge(df1
df2
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General
PromptBeginner5 minmarkdown
merged <- merge(df1
df2
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Data
PromptBeginner5 minmarkdown
fit <- aov(value ~ group
data = df)
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General
PromptBeginner5 minmarkdown
cor.test(x
y
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General
PromptBeginner5 minmarkdown
chisq.test(table(df$a
df$b))
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General
PromptBeginner5 minmarkdown
t.test(x
mu = 0) # one-sample
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General
PromptBeginner5 minmarkdown
t.test(x
y) # two-sample
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General
PromptBeginner5 minmarkdown
t.test(before
after
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Data
PromptBeginner5 minmarkdown
predict(fit
newdata = new_df)
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Data
PromptBeginner5 minmarkdown
fit <- lm(y ~ x1 + x2
data = df)
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General
PromptBeginner5 minmarkdown
cor(x
y)
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General
PromptBeginner5 minmarkdown
quantile(x
probs = c(0.25
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General
PromptBeginner5 minmarkdown
abline(h = 0
lty = 2
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General
PromptBeginner5 minmarkdown
text(x
y
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General
PromptBeginner5 minmarkdown
col = c(red
blue)
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General
PromptBeginner5 minmarkdown
legend(topright
legend = c(A
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General
PromptBeginner5 minmarkdown
plot(x
y)
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