Module qq 

Quantile–quantile statistics: stat_qq, stat_qq_line (ggplot2) and stat_qq_band (qqplotr’s pointwise / KS confidence envelopes) against a choice of theoretical distribution.

Plotting positions are R’s ppoints(n) (a = 3/8 for n ≤ 10, else 1/2); sample quantiles for the reference line use R’s default type-7 interpolation. All values are validated against R (stats::qqnorm, ggplot2 4.0 stat_qq/stat_qq_line, qqplotr 0.0.7 stat_qq_band) in tests/qq_dist_r.rs.

Structs

StatQQ

StatQQ: sort sample, compute theoretical standard-normal quantiles. Output: x (theoretical quantiles), y (sample sorted). Equivalent to StatQQDist::default().

StatQQBand

stat_qq_band (qqplotr): a confidence envelope around the QQ reference line. Output per sample point: x (theoretical quantile), ymin, ymax and y (the line’s fitted value).

StatQQDist

stat_qq against any QQDistribution: x = theoretical quantiles at ppoints(n), y = the sorted sample (also as theoretical / sample).

StatQQLine

StatQQLine: line through the sample/normal 1st and 3rd quartiles. Equivalent to StatQQLineDist::default().

StatQQLineDist

stat_qq_line against any QQDistribution: the line through the line_p (default 1st/3rd quartile) points, drawn over the range of the theoretical quantiles. Output x, y (2 rows) plus slope, intercept.

Enums

QQBandType

Confidence-band construction for StatQQBand (qqplotr’s bandType).

QQDistribution

Theoretical distribution of a QQ plot, with its parameters (ggplot2’s distribution + dparams).

Functions

ppoints

R’s ppoints(n).