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expss  

Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("expss", "0.11.7")



Attach the package and use:
library("expss")
Maintained by
Gregory Demin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-07
Latest Update: 2025-09-03
Description:
Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
How to cite:
Gregory Demin (2016). expss: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics. R package version 0.11.7, https://cran.r-project.org/web/packages/expss. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 0.5.1 (2016-07-07 23:56), 0.5.5 (2016-10-19 00:39), 0.7.1 (2017-04-10 00:14), 0.8.1 (2017-08-10 09:39), 0.8.2 (2017-09-26 19:17), 0.8.3 (2017-11-07 01:03), 0.8.4 (2017-12-10 22:49), 0.8.6 (2018-01-24 17:28), 0.8.7 (2018-06-14 07:34), 0.8.8 (2018-11-11 23:00), 0.8.10 (2018-12-11 14:20), 0.8.11 (2019-04-15 06:22), 0.9.0 (2019-07-01 06:20), 0.9.1 (2019-08-25 23:20), 0.10.1 (2019-11-27 23:10), 0.10.2 (2020-03-25 16:00), 0.10.5 (2020-07-06 16:40), 0.10.6 (2020-07-26 23:50), 0.10.7 (2020-11-15 23:00), 0.11.1 (2022-01-07 13:32), 0.11.2 (2022-10-16 04:52), 0.11.4 (2022-11-05 23:10), 0.11.6 (2023-07-15 23:40)
Other packages that cited expss R package
View expss citation profile
Other R packages that expss depends, imports, suggests or enhances
Complete documentation for expss
Functions, R codes and Examples using the expss R package
Some associated functions: add_columns . add_rows . apply_labels . as.category . as.datatable_widget . as.dichotomy . as.etable . as.labelled . as_huxtable . compare_proportions . compute . count_if . criteria . cross_cases . cross_fun . do_repeat . drop_empty_rows . expss . expss.options . fctr . fre . htmlTable.etable . if_na . info . keep . match_row . merge.etable . mrset . name_dots . names2labels . nest . net . prepend_values . product_test . prop . qc . read_spss . recode . reexports . set_caption . sheet . significance . sort_asc . split_by . split_labels . sum_row . tab_sort_asc . tables . text_to_columns . unlab . val_lab . values2labels . var_lab . vars . vectors . w_mean . weight_by . where . window_fun . write_labelled_csv . xl_write . 
Some associated R codes: S3_methods.R . aaa_utils.R . add_columns.R . add_rows.R . apply_labels.R . as.etable.R . as_hux.R . caption.R . category.R . common_table_utils.R . compute.R . count_if.R . criteria_functions.R . cross.R . cross_fun.R . custom_tables.R . custom_tables_significance.R . deprecated_cro.R . dichotomy.R . do_repeat.R . drop_empty.R . expss.R . expss_options.R . fctr.R . fre.R . html_datatable.R . html_table.R . if_na.R . info.R . keep.R . labels.R . match.R . merge.R . mrset.R . names2labels.R . nest.R . prepend_names.R . product_test.R . prop.R . qc.R . read_spss.R . recode.R . selectors.R . sheet.R . significance_cases.R . significance_cell_chisq.R . significance_cpct.R . significance_means.R . significance_pvalue.R . sort.R . split_by.R . split_labels.R . subtotal.R . sum.R . tab_sort.R . text_to_columns.R . values2labels.R . vec_ops.R . weight_by.R . weighted_stats.R . where.R . window_fun.R . write_labelled.R . xl_write.R .  Full expss package functions and examples
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