Data
PromptBeginner5 minmarkdown
aggregate(value ~ group
data = df
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General
PromptBeginner5 minmarkdown
tapply(df$value
df$group
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General
PromptBeginner5 minmarkdown
mapply(function(x
y) x + y
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General
PromptBeginner5 minmarkdown
apply(m
2
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General
PromptBeginner5 minmarkdown
# apply — over matrix margins (1=rows
2=cols)
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General
PromptBeginner5 minmarkdown
vapply(lst
length
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General
PromptBeginner5 minmarkdown
lapply(lst
function(x) x[1])
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General
PromptBeginner5 minmarkdown
sapply(lst
length)
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General
PromptBeginner5 minmarkdown
do.call(paste
list(a
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General
PromptBeginner5 minmarkdown
sapply(1:5
\(x) x^2)
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General
PromptBeginner5 minmarkdown
sapply(1:5
function(x) x^2)
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General
PromptBeginner5 minmarkdown
my_func <- function(x
y = 1
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General
PromptBeginner5 minmarkdown
cat(i
x[i]
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General
PromptBeginner5 minmarkdown
subset(df
value > 10
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General
PromptBeginner5 minmarkdown
ifelse(x > 0
pos
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General
PromptBeginner5 minmarkdown
df[df$value > 10
name] # filter + select
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General
PromptBeginner5 minmarkdown
df[1:5
] # first 5 rows
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General
PromptBeginner5 minmarkdown
x[c(TRUE
FALSE)] # by logical
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General
PromptBeginner5 minmarkdown
df[
c(name
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General
PromptBeginner5 minmarkdown
df[df$value > 15
] # filter rows
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General
PromptBeginner5 minmarkdown
value = c(10.5
20.3
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General
PromptBeginner5 minmarkdown
name = c(a
b
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General
PromptBeginner5 minmarkdown
m[
2] # second column
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General
PromptBeginner5 minmarkdown
lst <- list(name = ali
scores = c(90
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