## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set (collapse = TRUE, comment = "#>", fig.width = 6, fig.height = 4.2, fig.align = "center") optional = c ("MASS") available = all (sapply (optional, requireNamespace, quietly = TRUE)) knitr::opts_chunk$set (eval = available) ## ----echo = FALSE, eval = !available, results = "asis"------------------------ # cat ("**Note.** This vignette needs the following packages, some of which are missing:", # paste (optional, collapse = ", "), "-- the code is shown but not run.\n") ## ----message = FALSE, warning = FALSE----------------------------------------- library (fdm2id) ## ----------------------------------------------------------------------------- data (autompg) autompg = autompg [, -7] summary (autompg) ## ----------------------------------------------------------------------------- apply (autompg [, -7], 2, sd) ## ----------------------------------------------------------------------------- autompg [, -7] = scale (autompg [, -7]) ## ----fig.height = 6----------------------------------------------------------- plotdata (autompg, type = "pairs", labels = FALSE) ## ----fig.height = 5----------------------------------------------------------- plotdata (autompg, type = "boxplot", labels = FALSE) ## ----fig.height = 5----------------------------------------------------------- plotdata (autompg, type = "parallel", labels = FALSE) ## ----fig.height = 5----------------------------------------------------------- plotdata (autompg, type = "histogram", labels = FALSE) ## ----fig.height = 5----------------------------------------------------------- plotdata (autompg, type = "pca", labels = FALSE) ## ----fig.height = 5----------------------------------------------------------- plotdata (autompg, type = "cda", labels = FALSE) ## ----fig.height = 5----------------------------------------------------------- plotdata (autompg, type = "svd", labels = FALSE) ## ----fig.height = 5, eval = available && requireNamespace ("Rtsne", quietly = TRUE)---- # Variable, and visibly so: t-SNE starts from a random embedding and optimises it. Two runs # without 'seed' give two different pictures -- same groups, different positions and shapes. plotdata (autompg, type = "tsne", labels = FALSE, perplexity = 50, seed = 0)