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update docs
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R/utilities.R

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@@ -1820,7 +1820,7 @@ get_FDR = function(x){
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#' This function creates a series of 1D interval plots for cell-group effects, highlighting significant differences based on a given significance threshold.
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#'
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#' @param .data Data frame containing the main data.
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#' @param significance_threshold Numeric value specifying the significance threshold for highlighting differences. Default is 0.025.
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#' @param significance_threshold Numeric value specifying the significance threshold for highlighting differences.
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#' @param test_composition_above_logit_fold_change A positive integer. It is the effect threshold used for the hypothesis test. A value of 0.2 correspond to a change in cell proportion of 10% for a cell type with baseline proportion of 50%. That is, a cell type goes from 45% to 50%. When the baseline proportion is closer to 0 or 1 this effect thrshold has consistent value in the logit uncontrained scale.
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#' @importFrom patchwork wrap_plots
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#' @importFrom forcats fct_reorder
@@ -1847,7 +1847,7 @@ get_FDR = function(x){
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#' sccomp_test()
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#'
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#' # Example usage:
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#' plot_1D_intervals(estimate)
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#' my_plot = plot_1D_intervals(estimate)
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#'
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#' }
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#' }

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