Tools for matrices with precision weights, test and explore weighted or sparse data

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Documentation for package ‘weitrix’ version 1.17.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

as_weitrix	Convert data to a weitrix
bless_weitrix	Bless a SummarizedExperiment as a weitrix
components_seq_scree	Proportion more variance explained by adding components one at a time
components_seq_screeplot	Proportion more variance explained by adding components one at a time
counts_proportions	Produce a weitrix of proportions within groups
counts_shift	Produce a weitrix of shift scores
matrix_long	Convert a matrix to long form for ggplotting
simwei	Simulated weitrix dataset.
weitrix_calibrate	Adjust weights row-wise based on given row dispersions
weitrix_calibrate_all	Adjust weights element-wise by fitting a trend to squared residuals
weitrix_calibrate_trend	Adjust weights row-wise by fitting a trend to estimated dispersions
weitrix_calplot	Weight calibration plots, optionally versus a covariate
weitrix_components	Principal components of a weitrix
weitrix_components_seq	Principal components of a weitrix
weitrix_confects	Top confident effects based on one or more contrasts of a linear model for each row
weitrix_dispersions	Calculate row dispersions
weitrix_elist	Convert a weitrix object to a limma EList object
weitrix_hill	Calculate Hill numbers (effective number of observations) for rows or columns
weitrix_randomize	Generate a random normally distributed version of a weitrix
weitrix_sd_confects	Find rows with confidently excessive variability in a calibrated weitrix
weitrix_weights	Get or set a weitrix object's "weights" matrix
weitrix_weights<-	Get or set a weitrix object's "weights" matrix
weitrix_x	Get or set a weitrix object's "x" matrix
weitrix_x<-	Get or set a weitrix object's "x" matrix
well_knotted_spline	Natural cubic spline with good choice of knots