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labelr  

Label Data Frames, Variables, and Values
View on CRAN: Click here


Download and install labelr package within the R console
Install from CRAN:
install.packages("labelr")

Install from Github:
library("remotes")
install_github("cran/labelr")

Install by package version:
library("remotes")
install_version("labelr", "0.1.4")



Attach the package and use:
library("labelr")
Maintained by
Robert Hartman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-23
Latest Update: 2024-02-21
Description:
Create and use data frame labels for data frame objects (frame labels), their columns (name labels), and individual values of a column (value labels). Value labels include one-to-one and many-to-one labels for nominal and ordinal variables, as well as numerical range-based value labels for continuous variables. Convert value-labeled variables so each value is replaced by its corresponding value label. Add values-converted-to-labels columns to a value-labeled data frame while preserving parent columns. Filter and subset a value-labeled data frame using labels, while returning results in terms of values. Overlay labels in place of values in common R commands to increase interpretability. Generate tables of value frequencies, with categories expressed as raw values or as labels. Access data frames that show value-to-label mappings for easy reference.
How to cite:
Robert Hartman (2024). labelr: Label Data Frames, Variables, and Values. R package version 0.1.4, https://cran.r-project.org/web/packages/labelr
Previous versions and publish date:
0.1.2 (2024-01-23 14:30), 0.1.3 (2024-02-21 15:50), 0.1.4 (2024-04-02 04:30)
Other packages that cited labelr R package
View labelr citation profile
Other R packages that labelr depends, imports, suggests or enhances
Functions, R codes and Examples using the labelr R package
Some associated functions: add1m1 . add_factor_info . add_frame_lab . add_lab_atts . add_lab_cols . add_m1_lab . add_name_labs . add_quant1 . add_quant_labs . add_val1 . add_val_labs . as_base_data_frame . as_num . as_numv . check_any_lab_atts . check_class . check_irregular . check_labs_att . clean_data_atts . convert_labs . copy_var . drop_frame_lab . drop_name_labs . drop_val1 . drop_val_labs . flab . get_all_factors . get_all_lab_atts . get_factor_atts . get_factor_info . get_frame_lab . get_labs_att . get_name_labs . get_val_labs . greml . gremlr . has_decv . headl . init_labs . irregular2v . is_numable . make_demo_data . make_likert_data . recode_vals . restore_factor_info . sbrac . scbind . schange . sdrop . sfilter . sgen . slab . smerge . somel . sort_val_labs . srbind . srename . sreplace . sselect . ssort . ssubset . strip_labs . tabl . taill . transfer_labs . use_name_labs . use_val_labs . use_var_names . val_labs_vec . with_both_labs . with_name_labs . with_val_labs . 
Some associated R codes: add1m1.R . add_factor_info.R . add_frame_lab.R . add_lab_atts.R . add_lab_cols.R . add_m1_lab.R . add_name_labs.R . add_quant1.R . add_quant_labs.R . add_val1.R . add_val_labs.R . as_base_data_frame.R . as_num.R . as_numv.R . check_any_lab_atts.R . check_class.R . check_irregular.R . check_labs_att.R . clean_data_atts.R . convert_labs.R . copy_var.R . drop_frame_lab.R . drop_name_labs.R . drop_val1.R . drop_val_labs.R . flab.R . get_all_factors.R . get_all_lab_atts.R . get_factor_atts.R . get_factor_info.R . get_frame_lab.R . get_labs_att.R . get_name_labs.R . get_val_labs.R . greml.R . gremlr.R . has_decv.R . headl.R . init_labs.R . irregular2v.R . is_numable.R . make_demo_data.R . make_likert_data.R . recode_vals.R . restore_factor_info.R . sbrac.R . scbind.R . schange.R . sdrop.R . sfilter.R . sgen.R . slab.R . smerge.R . somel.R . sort_val_labs.R . srbind.R . srename.R . sreplace.R . sselect.R . ssort.R . ssubset.R . strip_labs.R . tabl.R . taill.R . transfer_labs.R . use_name_labs.R . use_val_labs.R . use_var_names.R . val_labs_vec.R . with_both_labs.R . with_name_labs.R . with_val_labs.R .  Full labelr package functions and examples
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