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
weitrix_x() `weitrix_x<-`()
weitrix_x()
`weitrix_x<-`()
Get or set a weitrix object's "x" matrix
weitrix_weights() `weitrix_weights<-`()
weitrix_weights()
`weitrix_weights<-`()
Get or set a weitrix object's "weights" matrix
weitrix_elist()
Convert a weitrix object to a limma EList object
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
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
weitrix_components() weitrix_components_seq()
weitrix_components()
weitrix_components_seq()
Principal components of a weitrix
components_seq_scree() components_seq_screeplot()
components_seq_scree()
components_seq_screeplot()
Proportion more variance explained by adding components one at a time
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.