View source: R/plotFeatureCorr.R
plotFtCorlines | R Documentation |
Plot correlation trendlines between different features
plotFtCorlines(
dataset1 = NULL,
dataset2 = NULL,
method = c("pearson", "kendall", "spearman"),
factor = NULL,
features1 = NULL,
features2 = NULL,
sigsOnly = T,
alpha = 0.05,
r_cutoff = 0.5
)
dataset1 |
MicroVis dataset. Defaults to the active dataset |
dataset2 |
(Optional) MicroVis dataset with features to correlate with the dataset1 |
method |
Correlation method. One of either "pearson", "spearman", or "kendall". Defaults to "spearman" |
factor |
Factor to group samples by |
features1 |
(Optional) Specific features to consider from first dataset. If only one dataset is being used, then these features will be correlated with themselves |
features2 |
(Optional) Specific features to consider from second dataset, If no second dataset is provided, then 'features1' will be correlated with 'features2' from 'dataset1' |
sigsOnly |
Only plot significant correlations (after adjusting for multiple comparisons)? Defaults to TRUE |
alpha |
Significance threshold. Defaults to 0.05 |
r_cutoff |
Correlation coefficient threshold. Defaults to 0 (all correlation values will be accepted when choosing which correlations to plot) |
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