General
PromptBeginner5 minmarkdownQuality: 24
gsub(old
new
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Showing 24 of 121,449Categories: Data, Cursor-rules, General
General
PromptBeginner5 minmarkdownQuality: 24
sprintf(%.2f%%
3.14159) # 3.14%
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Data
PromptBeginner5 minmarkdownQuality: 24
aggregate(value ~ group
data = df
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General
PromptBeginner5 minmarkdownQuality: 24
paste0(x
1:3) # x1 x2 x3
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General
PromptBeginner5 minmarkdownQuality: 24
paste(a
b
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General
PromptBeginner5 minmarkdownQuality: 24
apply(m
2
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General
PromptBeginner5 minmarkdownQuality: 24
mapply(function(x
y) x + y
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General
PromptBeginner5 minmarkdownQuality: 24
tapply(df$value
df$group
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General
PromptBeginner5 minmarkdownQuality: 24
lapply(lst
function(x) x[1])
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General
PromptBeginner5 minmarkdownQuality: 24
apply — over matrix margins (1=rows
2=cols)
0
General
PromptBeginner5 minmarkdownQuality: 24
vapply(lst
length
0
General
PromptBeginner5 minmarkdownQuality: 24
sapply(lst
length)
0
General
PromptBeginner5 minmarkdownQuality: 24
sapply(1:5
\(x) x^2)
0
General
PromptBeginner5 minmarkdownQuality: 24
do.call(paste
list(a
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General
PromptBeginner5 minmarkdownQuality: 24
cat(i
x[i]
0
General
PromptBeginner5 minmarkdownQuality: 24
sapply(1:5
function(x) x^2)
0
General
PromptBeginner5 minmarkdownQuality: 24
my_func <- function(x
y = 1
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General
PromptBeginner5 minmarkdownQuality: 24
subset(df
value > 10
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General
PromptBeginner5 minmarkdownQuality: 24
ifelse(x > 0
pos
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General
PromptBeginner5 minmarkdownQuality: 24
df[df$value > 10
name] # filter + select
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General
PromptBeginner5 minmarkdownQuality: 24
df[1:5
] # first 5 rows
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General
PromptBeginner5 minmarkdownQuality: 24
df[
c(name
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General
PromptBeginner5 minmarkdownQuality: 24
x[c(TRUE
FALSE)] # by logical
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General
PromptBeginner5 minmarkdownQuality: 24
df[df$value > 15
] # filter rows
0