Mercurial > repos > eschen42 > w4mcorcov
diff w4mcorcov_calc.R @ 3:5aaab36bc523 draft
planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 88004a3cf8868d68da1ec5bd2c1be53746350367
author | eschen42 |
---|---|
date | Mon, 15 Jan 2018 14:30:15 -0500 |
parents | e03582f26617 |
children | 8bba31f628da |
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--- a/w4mcorcov_calc.R Sun Nov 12 19:45:36 2017 -0500 +++ b/w4mcorcov_calc.R Mon Jan 15 14:30:15 2018 -0500 @@ -7,7 +7,7 @@ #### OPLS-DA algoC <- "nipals" -do_detail_plot <- function(x_dataMatrix, x_predictor, x_is_match, x_algorithm, x_prefix, x_show_labels, x_show_loado_labels, x_progress = print, x_env) { +do_detail_plot <- function(x_dataMatrix, x_predictor, x_is_match, x_algorithm, x_prefix, x_show_labels, x_show_loado_labels, x_progress = print, x_env, x_crossval_i) { off <- function(x) if (x_show_labels == "0") 0 else x if (x_is_match && ncol(x_dataMatrix) > 0 && length(unique(x_predictor))> 1) { my_oplsda <- opls( @@ -18,6 +18,7 @@ , orthoI = if (ncol(x_dataMatrix) > 1) 1 else 0 , printL = FALSE , plotL = FALSE + , crossvalI = x_crossval_i ) my_oplsda_suppLs_y_levels <- levels(as.factor(my_oplsda@suppLs$y)) fctr_lvl_1 <- my_oplsda_suppLs_y_levels[1] @@ -305,6 +306,7 @@ , x_show_labels = labelFeatures , x_show_loado_labels = labelOrthoFeatures , x_progress = progress_action + , x_crossval_i = min(7, length(chosen_samples)) , x_env = calc_env ) if ( is.null(my_cor_cov) ) { @@ -361,6 +363,7 @@ , x_show_labels = labelFeatures , x_show_loado_labels = labelOrthoFeatures , x_progress = progress_action + , x_crossval_i = min(7, length(chosen_samples)) , x_env = calc_env ) if ( is.null(my_cor_cov) ) { @@ -414,6 +417,7 @@ , x_show_labels = labelFeatures , x_show_loado_labels = labelOrthoFeatures , x_progress = progress_action + , x_crossval_i = min(7, length(chosen_samples)) , x_env = calc_env ) if ( is.null(my_cor_cov) ) { @@ -459,6 +463,7 @@ , x_show_labels = labelFeatures , x_show_loado_labels = labelOrthoFeatures , x_progress = progress_action + , x_crossval_i = min(7, length(chosen_samples)) , x_env = calc_env ) if ( is.null(my_cor_cov) ) {