General
PromptBeginner5 minmarkdown
plot(fit
which = 1) # residuals vs fitted
0
Explore
Find agent skills by outcome
118,927 skills indexed with the new KISS metadata standard.
Showing 24 of 118,927Categories: Data & Insights, Openclaw, General, Coding & Debugging, Data
General
PromptBeginner5 minmarkdown
par(mfrow = c(1
1))
0
Data
PromptBeginner5 minmarkdown
# fit_aov <- aov(%s ~ %s
data = df)
0
Data
PromptBeginner5 minmarkdown
fit <- lm(%s ~ %s
data = df)
0
Data
PromptBeginner5 minmarkdown
# t.test(%s ~ %s
data = df)
0
General
PromptBeginner5 minmarkdown
tapply(df$%s
df$%s
0
General
PromptBeginner5 minmarkdown
tapply(df$%s
df$%s
0
General
PromptBeginner5 minmarkdown
hist(df$%s
main = Distribution of %s
2
General
PromptBeginner5 minmarkdown
cat(Dimensions:
dim(df)
0
General
PromptBeginner5 minmarkdown
# df <- df[complete.cases(df)
] # drop rows with any NA
0
Data
PromptBeginner5 minmarkdown
if (is.null(data_file)) data_file <- paste0(project_name
.csv)
0
General
PromptBeginner5 minmarkdown
out_file <- paste0(project_name
_analysis.R)
0
General
PromptBeginner5 minmarkdown
df <- read.csv(%s
stringsAsFactors = FALSE)
0
General
PromptBeginner5 minmarkdown
# scaffold_analysis(myproject
outcome = score
0
General
PromptBeginner5 minmarkdown
dims = c(rows = n_row
cols = n_col)
0
General
PromptBeginner5 minmarkdown
n_dup
n_dup / n_row * 100))
0
General
PromptBeginner5 minmarkdown
pct <- round(cnt / n_row * 100
1)
0
General
PromptBeginner5 minmarkdown
cat(sprintf( %-25s %5d (%.1f%%)\n
lbl
0
General
PromptBeginner5 minmarkdown
cat(sprintf( ... and %d more levels\n
n_lv - top_n_levels))
0
General
PromptBeginner5 minmarkdown
tbl <- sort(table(x
useNA = no)
0
General
PromptBeginner5 minmarkdown
cat(sprintf(\n %s (%d unique values)\n
col
0
General
PromptBeginner5 minmarkdown
show <- min(top_n_levels
n_lv)
2
General
PromptBeginner5 minmarkdown
──────
───
0
General
PromptBeginner5 minmarkdown
cat_cols <- names(df)[sapply(df
function(x) is.factor(x) | is.character(x))]
0