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expss
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", "0.11.6")
Attach the package and use:
library("expss")
Maintained by
Gregory Demin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.expss . https://github.com/gdemin/expss/issues . https://gdemin.github.io/expss/ . expss results . expss.pdf . expss_0.11.6.tar.gz . expss_0.11.6.zip . expss_0.11.6.zip . expss_0.11.6.zip . expss_0.11.6.tgz . expss_0.11.6.tgz . expss_0.11.6.tgz . expss_0.11.6.tgz . expss_0.11.6.tgz . expss_0.11.6.tgz . expss archive . https://CRAN.R-project.org/package=expss .
First Published: 2016-07-07
Latest Update: 2023-07-15
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 0.11.6, https://cran.r-project.org/web/packages/expss. Accessed 10 Apr. 2025.
Previous versions and publish date:
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)
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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