A Tidy Implementation of Heatmap


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Documentation for package ‘tidyHeatmap’ version 1.0.1

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add_attr Add attribute to abject
add_class Add class to abject
annot_to_list annot_to_list
as_matrix Get matrix from tibble
check_if_counts_is_na Check whether there are NA counts
check_if_duplicated_genes Check whether there are duplicated genes/transcripts
check_if_wrong_input Check whether there are NA counts
drop_class Remove class to abject
error_if_log_transformed Check whether a numeric vector has been log transformed
get_abundance_norm_if_exists Get column names either from user or from attributes
get_elements Get column names either from user or from attributes
get_elements_features Get column names either from user or from attributes
get_elements_features_abundance Get column names either from user or from attributes
get_sample_counts Get column names either from user or from attributes
get_sample_transcript Get column names either from user or from attributes
get_sample_transcript_counts Get column names either from user or from attributes
get_x_y_annotation_columns get_x_y_annotation_columns
heatmap Creates a 'ComplexHeatmap' plot from 'tbl_df'
heatmap.default Creates a 'ComplexHeatmap' plot from 'tbl_df'
heatmap.tbl_df Creates a 'ComplexHeatmap' plot from 'tbl_df'
ifelse2_pipe This is a generalisation of ifelse that acceots an object and return an objects
ifelse_pipe This is a generalisation of ifelse that acceots an object and return an objects
N52 Example data set N52
parse_formula .formula parser
pasilla Example data set Pasilla
plot_heatmap plot_heatmap
prepend From rlang deprecated
quo_names Convert array of quosure (e.g. c(col_a, col_b)) into character vector
save_pdf Save plot on PDF file
save_pdf-method save_pdf
scale_design Scale design matrix
scale_robust Scale counts in a robust way against sd == 0
select_closest_pairs Sub function of remove_redundancy_elements_though_reduced_dimensions
type_to_annot_function type_to_annot_function annot_*