Data
PromptBeginner5 minmarkdownQuality: 22
if (is.null(datafile)) datafile <- paste0(project_name
.csv)
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Data
PromptBeginner5 minmarkdownQuality: 22
check_data <- function(df
topnlevels = 8) {
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Data
PromptBeginner5 minmarkdownQuality: 22
saveRDS(df
data_clean.rds)
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Writing & Content
PromptBeginner5 minmarkdownQuality: 22
write.csv(df
data_clean.csv
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Data
PromptBeginner5 minmarkdownQuality: 22
fitaov <- aov(outcomevar ~ group_var
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
t.test(outcomevar ~ groupvar
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
abline(lm(outcome_var ~ predictor
data = df)
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Data
PromptBeginner5 minmarkdownQuality: 22
df <- read.csv(your_data.csv
stringsAsFactors = FALSE)
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Data
PromptBeginner5 minmarkdownQuality: 22
- Formula interface: `pairs(~ var1 + var2 + var3
data = df)`.
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Data
PromptBeginner5 minmarkdownQuality: 22
- Formula interface: `cor.test(~ x + y
data = df) — note the ~` with no LHS.
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Data
PromptBeginner5 minmarkdownQuality: 26
- Default bandwidth: bw = nrd0 (Silverman's rule of thumb). For multimodal data
consider SJ or bcv.
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Data
PromptBeginner5 minmarkdownQuality: 26
- Default kernel: gaussian. Range of density extends beyond data range (controlled by cut
default 3 bandwidths).
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Creative
PromptBeginner5 minmarkdownQuality: 22
- nstart > 1 recommended (e.g.
nstart = 25): runs algorithm from multiple random starts
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Data
PromptBeginner5 minmarkdownQuality: 22
- Returns a matrix of p-values
not test statistics.
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Data
PromptBeginner5 minmarkdownQuality: 26
- For composite hypotheses (parameters estimated from data)
p-values are conservative (too large). Use dgof or ks.test with exact = NULL for discrete distributions.
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Data
PromptBeginner5 minmarkdownQuality: 26
- If data fits too exactly (no residual noise)
convergence check fails — use control = list(scaleOffset = 1) or jitter data.
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Creative
PromptBeginner5 minmarkdownQuality: 22
- Self-starting models (SSlogis
SSasymp
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Creative
PromptBeginner5 minmarkdownQuality: 26
- 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.
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Creative
PromptBeginner5 minmarkdownQuality: 26
- model.matrix creates the design matrix including dummy coding. Default contrasts: contr.treatment...
contr.poly for ordered.
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Creative
PromptBeginner5 minmarkdownQuality: 22
- `substr(x
start
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Writing & Content
PromptBeginner5 minmarkdownQuality: 22
- write.csv fixes `sep =
`
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Data
PromptBeginner5 minmarkdownQuality: 22
- Returns data frame with size
isdir
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Data
PromptBeginner5 minmarkdownQuality: 22
- If FUN returns multiple values
result column is a matrix column inside the data frame.
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Data
PromptBeginner5 minmarkdownQuality: 22
- Formula interface (`aggregate(y ~ x
data
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