General
PromptBeginner5 minmarkdown
cat(i
x[i]
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General
PromptBeginner5 minmarkdown
my_func <- function(x
y = 1
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General
PromptBeginner5 minmarkdown
df[
c(name
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General
PromptBeginner5 minmarkdown
subset(df
value > 10
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General
PromptBeginner5 minmarkdown
df[df$value > 10
name] # filter + select
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General
PromptBeginner5 minmarkdown
df[df$value > 15
] # filter rows
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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
name = c(a
b
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General
PromptBeginner5 minmarkdown
value = c(10.5
20.3
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General
PromptBeginner5 minmarkdown
lst <- list(name = ali
scores = c(90
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General
PromptBeginner5 minmarkdown
m[1
] # first row
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General
PromptBeginner5 minmarkdown
m[
2] # second column
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General
PromptBeginner5 minmarkdown
m <- matrix(1:6
nrow = 2
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General
PromptBeginner5 minmarkdown
f <- factor(c(low
med
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General
PromptBeginner5 minmarkdown
z <- c(TRUE
FALSE
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General
PromptBeginner5 minmarkdown
y <- c(a
b
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Coding & Debugging
PromptBeginner5 minmarkdown
A comprehensive reference for base R programming — covering data structures
control flow
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Coding & Debugging
PromptBeginner5 minmarkdown
description: Provides base R programming guidance covering data structures
data wrangling
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General
PromptBeginner5 minmarkdown
x <- c(1
2
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General
PromptBeginner5 minmarkdown
base-R
---
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General
PromptBeginner5 minmarkdown
When you ask for help
the agent responds with:
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Data
PromptBeginner5 minmarkdown
- “What exactly changes with EU data residency
and what must we verify for auditors?”
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General
PromptBeginner5 minmarkdown
- **Separate facts vs recommendations:** Label “documented behavior” versus “recommended approach
” especially for residency and retention.
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