Data
PromptBeginner5 minmarkdown
# fit_aov <- aov(outcome_var ~ group_var
data = df)
0
Explore
Find agent skills by outcome
19,436 skills indexed with the new KISS metadata standard.
Showing 24 of 19,436Categories: Creative, Openclaw, Communication, Cursor-rules, Coding & Debugging, Data
Data
PromptBeginner5 minmarkdown
t.test(outcome_var ~ group_var
data = df)
0
Data
PromptBeginner5 minmarkdown
abline(lm(outcome_var ~ predictor
data = df)
0
Data
PromptBeginner5 minmarkdown
df <- read.csv(your_data.csv
stringsAsFactors = FALSE)
0
Coding & Debugging
PromptBeginner5 minmarkdown
- `arrows`: `code = 1` (head at start)
`code = 2` (head at end
0
Data
PromptBeginner5 minmarkdown
- Formula interface: `pairs(~ var1 + var2 + var3
data = df)`.
0
Data
PromptBeginner5 minmarkdown
- Formula interface: `cor.test(~ x + y
data = df)` — note the `~` with no LHS.
0
Data
PromptBeginner5 minmarkdown
- Default kernel: `gaussian`. Range of density extends beyond data range (controlled by `cut`
default 3 bandwidths).
0
Data
PromptBeginner5 minmarkdown
- Default bandwidth: `bw = nrd0` (Silverman's rule of thumb). For multimodal data
consider `SJ` or `bcv`.
0
Creative
PromptBeginner5 minmarkdown
- `nstart > 1` recommended (e.g.
`nstart = 25`): runs algorithm from multiple random starts
0
Data
PromptBeginner5 minmarkdown
- Returns a matrix of p-values
not test statistics.
0
Data
PromptBeginner5 minmarkdown
- For composite hypotheses (parameters estimated from data)
p-values are **conservative** (too large). Use `dgof` or `ks.test` with `exact = NULL` for discrete distributions.
0
Coding & Debugging
PromptBeginner5 minmarkdown
- `SANN` (simulated annealing): convergence code is **always 0** — it never fails. `maxit` = total function evals (default 10000)
no other stopping criterion.
0
Data
PromptBeginner5 minmarkdown
- If data fits too exactly (no residual noise)
convergence check fails — use `control = list(scaleOffset = 1)` or jitter data.
0
Creative
PromptBeginner5 minmarkdown
- Self-starting models (`SSlogis`
`SSasymp`
0
Creative
PromptBeginner5 minmarkdown
- `aov` is a wrapper around `lm` that stores extra info for balanced ANOVA. For unbalanced designs
Type I SS (sequential) are computed — order of terms matters.
0
Creative
PromptBeginner5 minmarkdown
- `model.matrix` creates the design matrix including dummy coding. Default contrasts: `contr.treatment` for unordered factors
`contr.poly` for ordered.
0
Coding & Debugging
PromptBeginner5 minmarkdown
- `URLencode(url
reserved = FALSE)` by default does NOT encode reserved chars (`/`
0
Creative
PromptBeginner5 minmarkdown
- `substr(x
start
0
Data
PromptBeginner5 minmarkdown
- Returns data frame with `size`
`isdir`
0
Data
PromptBeginner5 minmarkdown
- If FUN returns multiple values
result column is a **matrix column** inside the data frame.
0
Data
PromptBeginner5 minmarkdown
- Formula interface (`aggregate(y ~ x
data
0
Coding & Debugging
PromptBeginner5 minmarkdown
- `as.numeric(f)` returns **integer codes**
not original values. Use `as.numeric(levels(f))[f]` or `as.numeric(as.character(f))`.
0
Data
PromptBeginner5 minmarkdown
- For data frames
operates on whole rows. For lists
0