General
PromptBeginner5 minmarkdown
cbind(df1
df2) # bind columns (same rows)
0
Explore
Find agent skills by outcome
143,190 skills indexed with the new KISS metadata standard.
Showing 24 of 143,190
General
PromptBeginner5 minmarkdown
df$category <- cut(df$value
breaks = c(0
0
General
PromptBeginner5 minmarkdown
df[!duplicated(df$id)
]
0
General
PromptBeginner5 minmarkdown
df[!duplicated(df)
]
0
General
PromptBeginner5 minmarkdown
df[order(df$group
-df$value)
0
General
PromptBeginner5 minmarkdown
df[order(-df$value)
] # descending
0
General
PromptBeginner5 minmarkdown
varying = list(c(v1
v2))
0
General
PromptBeginner5 minmarkdown
df[order(df$value)
] # ascending
0
General
PromptBeginner5 minmarkdown
long <- reshape(wide
direction = long
0
General
PromptBeginner5 minmarkdown
idvar = id
timevar = time
0
General
PromptBeginner5 minmarkdown
wide <- reshape(long
direction = wide
0
General
PromptBeginner5 minmarkdown
merged <- merge(df1
df2
0
General
PromptBeginner5 minmarkdown
merged <- merge(df1
df2
0
General
PromptBeginner5 minmarkdown
merged <- merge(df1
df2
0
Data
PromptBeginner5 minmarkdown
fit <- aov(value ~ group
data = df)
0
General
PromptBeginner5 minmarkdown
cor.test(x
y
0
General
PromptBeginner5 minmarkdown
chisq.test(table(df$a
df$b))
0
General
PromptBeginner5 minmarkdown
t.test(before
after
0
General
PromptBeginner5 minmarkdown
t.test(x
mu = 0) # one-sample
0
General
PromptBeginner5 minmarkdown
t.test(x
y) # two-sample
0
Data
PromptBeginner5 minmarkdown
predict(fit
newdata = new_df)
0
General
PromptBeginner5 minmarkdown
cor(x
y)
0
Data
PromptBeginner5 minmarkdown
fit <- lm(y ~ x1 + x2
data = df)
0
General
PromptBeginner5 minmarkdown
quantile(x
probs = c(0.25
0