View source: R/plot_decomposed.R

plot_biplot | R Documentation |

The final graph shows the data points projected onto the first two components, together with the loadings as axes.

plot_biplot(obj, X = NULL, method = "pca", edges = NULL)

`obj` |
The output from |

`X` |
The data matrix used as input to |

`method` |
The decomposition method, choose between "pca" (default), "dobin", "ics" or "ica". |

`edges` |
Set to "all" to connect points by time index, "outlying" to connect tagged outliers to previous and following points. |

A ggplot showing the biplot.

## Not run: set.seed(100) n <- 600 x <- sample(1:100, n, replace=TRUE) x[25] <- 200 x[320] <- 300 x2 <- sample(1:100, n, replace=TRUE) x3 <- sample(1:100, n, replace=TRUE) x4 <- sample(1:100, n, replace=TRUE) X <- cbind.data.frame(x, x2, x3, x4) out1 <- mv_tsout_ens(X, compr=2, fast=FALSE) plot_biplot(out1, X = X, method = "pca") X <- X/rowSums(X) out2 <- comp_tsout_ens(X, compr=2, fast=FALSE) plot_biplot(out2) ## End(Not run)

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