Create weitrix

as_weitrix()

Convert data to a weitrix

bless_weitrix()

Bless a SummarizedExperiment as a weitrix

counts_shift()

Produce a weitrix of shift scores

counts_proportions()

Produce a weitrix of proportions within groups

Access or cast weitrix

weitrix_x() `weitrix_x<-`()

Get or set a weitrix object's "x" matrix

weitrix_weights() `weitrix_weights<-`()

Get or set a weitrix object's "weights" matrix

weitrix_elist()

Convert a weitrix object to a limma EList object

Summary statistics and calibration

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_calibrate()

Adjust weights row-wise based on given row dispersions

weitrix_dispersions()

Calculate row dispersions

weitrix_calplot()

Weight calibration plots, optionally versus a covariate

weitrix_hill()

Calculate Hill numbers (effective number of observations) for rows or columns

Statistical testing

weitrix_confects()

Top confident effects based on one or more contrasts of a linear model for each row

weitrix_sd_confects()

Find rows with confidently excessive variability in a calibrated weitrix

Components

weitrix_components() weitrix_components_seq()

Principal components of a weitrix

components_seq_scree() components_seq_screeplot()

Proportion more variance explained by adding components one at a time

Other

well_knotted_spline()

Natural cubic spline with good choice of knots

weitrix_randomize()

Generate a random normally distributed version of a weitrix

matrix_long()

Convert a matrix to long form for ggplotting

simwei

Simulated weitrix dataset.