Data
PromptBeginner5 minmarkdown
df <- read.table(data.txt
header = TRUE
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Find agent skills by outcome
114,001 skills indexed with the new KISS metadata standard.
Showing 24 of 114,001Categories: Productivity, General, Data, Coding & Debugging
Data
PromptBeginner5 minmarkdown
df <- read.csv(data.csv
stringsAsFactors = FALSE)
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General
PromptBeginner5 minmarkdown
strsplit(a
b
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General
PromptBeginner5 minmarkdown
grepl(pattern
x) # logical vector
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General
PromptBeginner5 minmarkdown
grep(pattern
x) # indices of matches
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General
PromptBeginner5 minmarkdown
substr(hello
1
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General
PromptBeginner5 minmarkdown
gsub(old
new
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General
PromptBeginner5 minmarkdown
sprintf(%.2f%%
3.14159) # 3.14%
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General
PromptBeginner5 minmarkdown
paste0(x
1:3) # x1 x2 x3
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General
PromptBeginner5 minmarkdown
paste(a
b
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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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