Webstat_ma_line: Predicted line from major axis linear fit; stat_peaks: Local maxima (peaks) or minima (valleys) stat_poly_eq: Equation, p-value, R^2, AIC and BIC of fitted polynomial; … WebMany of the functions, including ggplot statistics and geoms, included in package ‘ggpmisc’ had their origin in my need to produce plots for use in teaching. Some of them are more generally useful, such as stat_poly_eq(), but others like stat_fit_deviations() are squarely aimed and producing learning material. Finally, several statistics ...
stat_poly_eq function - RDocumentation
WebDec 28, 2024 · Details This stat can be used to automatically annotate a plot with R^2 , P -value, n and/or the fitted model equation. It supports linear major axis (MA), standard major axis (SMA) and ranged major axis (RMA) regression by means of function lmodel2. Please see the documentation, including the vignette of package 'lmodel2' for details. Webstat_regline_equation( mapping = NULL, data = NULL, formula = y ~ x, label.x.npc = "left", label.y.npc = "top", label.x = NULL, label.y = NULL, output.type = "expression", geom = "text", position = "identity", na.rm = … chesapeake heartbeats wellness pharmacy
Add regression line equation and R^2 on graph - Stack …
WebAug 29, 2024 · Apply function to unique subsets of a data.frame This function is akin to plyr::ddply. It takes a single data.frame, splits it by the unique combinations of the columns given in by, apply a function to each split, and then reassembles the results into a sigle data.frame again. @param df A data.frame WebNov 17, 2024 · stat_poly_eq () [ggpmisc] formula <- y ~ x p + stat_smooth( aes(color = Species, fill = Species), method = "lm") + stat_cor(aes(color = Species), label.y = 4.4)+ stat_poly_eq( aes(color = Species, label = ..eq.label..), formula = formula, label.y = 4.2, parse = TRUE) Fit polynomial equation: Create some data: Webstat_ma_line: Predicted line from major axis linear fit; stat_peaks: Local maxima (peaks) or minima (valleys) stat_poly_eq: Equation, p-value, R^2, AIC and BIC of fitted polynomial; stat_poly_line: Predicted line from linear model fit; stat_quant_band: Predicted band from quantile regression fits flights website