Other packages > Find by keyword >

saros  

Semi-Automatic Reporting of Ordinary Surveys
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("saros", "1.5.1")



Attach the package and use:
library("saros")
Maintained by
Stephan Daus
[Scholar Profile | Author Map]
First Published: 2024-01-26
Latest Update: 2024-02-29
Description:
Produces highly customized reports, primarily intended for survey research. Building on 'Quarto' (), it generates draft chapters of all specified dependent/independent variables, which can be further edited by hand, containing figures, tables and analyses (currently only uni-/bivariate tests of equivalent means/proportions). The feature 'mesos'-reports offer tailor-made batch report production where e.g. an institution can compare itself to all other participants. Publication tools are also included, such as password generation for 'mesos'-report sections on a 'Quarto' Website.
How to cite:
Stephan Daus (2024). saros: Semi-Automatic Reporting of Ordinary Surveys. R package version 1.5.1, https://cran.r-project.org/web/packages/saros. Accessed 22 Apr. 2025.
Previous versions and publish date:
1.0.1 (2024-01-26 12:30), 1.0.4 (2024-02-29 02:10), 1.2.0 (2024-09-03 09:40), 1.5.0 (2025-01-10 17:20)
Other packages that cited saros R package
View saros citation profile
Other R packages that saros depends, imports, suggests or enhances
Complete documentation for saros
Functions, R codes and Examples using the saros R package
Some associated functions: attach_qualtrics_labels . center_string . col_to_binaries . combn_upto . create_caption . create_email_credentials . crosstable3 . draft_report . embed_cat_freq_plot . embed_cat_freq_plot_docx . embed_cat_prop_plot . embed_cat_prop_plot_docx . embed_cat_table . embed_cat_text_html . embed_chr_table_html . embed_sigtest . ex_survey . ex_survey_ch_overview . filename_sanitizer . gen_element_and_qmd_snippet2 . gen_qmd_chapters . gen_qmd_index . get_colour_palette . get_colour_set . get_data_label_opts . handpick . hex_bw . is_colour . list_available_element_types . omitted_recoder_df . post_render_docx_img_replacer . prep_cat_freq_plot_docx . prep_cat_freq_plot_html . prep_cat_prop_plot_docx . prep_cat_prop_plot_html . prepare_chunk . prepare_safe_render . quarto_render_saros . read_default_draft_report_args . refine_chapter_overview . remove_label_parts . remove_special_chars_in_labels . rename_by_labels . render_full_reports . replace_docx_imgs_with_mscharts . replace_stata_labels . sanitize_labels . setup_access_restrictions . subset_vector . summarize_data . swap_label_colnames . write_default_draft_report_args . 
Some associated R codes: add_attributes_unfinished.R . add_caption_attribute.R . add_section_heading_line.R . argument_validation_and_insertion.R . attach_chapter_dataset2.R . attach_indep.R . attach_new_output_to_output.R . cat_freq_plot_html.R . cat_prop_plot_html.R . cat_table.R . check_duplicates_in_data_overview.R . checks.R . chr_table.R . colour.R . crosstable3.R . data.R . data_overview.R . default_draft_report_arguments_in_yaml.R . draft_report.R . embed_cat_freq_plot_docx.R . embed_cat_prop_plot_docx.R . estimate_plot_height.R . filename_sanitizer.R . find_stat_test.R . flexi.R . gen_default_report_yaml.R . gen_element_and_qmd_snippet2.R . gen_heading_line.R . gen_inner_section.R . gen_micro.R . gen_qmd_chapters.R . gen_qmd_index.R . gen_qmd_structure2.R . gen_within_chapter_structure.R . get_common_levels.R . get_common_name.R . globals.R . handpick.R . initialize_and_configure.R . insert_obj_in_qmd.R . insert_qmd_tablet_tailored_order.R . int_plot.R . log_unused_variables.R . make_filename_prefix.R . make_filenames_list.R . prep_cat_freq_plot_docx.R . prep_cat_prop_plot_docx.R . prepare_chunk.R . prepare_chunk.bi_catcat_prop_plot.R . prepare_chunk.bi_catcat_table.R . prepare_chunk.bi_sigtest.R . prepare_chunk.hline.R . prepare_chunk.uni_cat_prop_plot.R . prepare_chunk.uni_cat_table.R . prepare_chunk.uni_cat_text.R . prepare_chunk.uni_chr_table.R . pretty_tabular.R . process_yaml.R . pull_uniques.R . qmd_replace_docx_imgs_with_mscharts.R . qualtrics.R . remove_empty_col_for_mesos_group.R . remove_label_part.R . remove_non_significant_bivariates.R . rename_by_labels.R . render.R . render_full_reports.R . replace_stata_labels.R . run_on_build.R . serialization.R . setup_access_restrictions.R . sigtest2.R . summarize_data.R . text.R . ungroup_data.R . update_dots.R . utils.R . utils_labels.R . utils_office.R . utils_qmd.R . validate_chapter_overview.R .  Full saros package functions and examples
Downloads during the last 30 days
03/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/20Downloads for saros0246810121416TrendBars

Today's Hot Picks in Authors and Packages

ino  
Initialization of Numerical Optimization
Analysis of the initialization for numerical optimization of real-valued functions, including likel ...
Download / Learn more Package Citations See dependency  
optimStrat  
Choosing the Sample Strategy
Intended to assist in the choice of the sampling strategy to implement in a survey. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
Qest  
Quantile-Based Estimator
Quantile-based estimators (Q-estimators) can be used to fit any parametric distribution, using its q ...
Download / Learn more Package Citations See dependency  
phylosamp  
Sample Size Calculations for Molecular and Phylogenetic Studies
Implements novel tools for estimating sample sizes needed for phylogenetic studies, including studi ...
Download / Learn more Package Citations See dependency  
GWPR.light  
Geographically Weighted Panel Regression
Geographically weighted panel regression is grounded in a branch of spatial statistics. Using geogra ...
Download / Learn more Package Citations See dependency  

24,098

R Packages

207,311

Dependencies

65,069

Author Associations

24,099

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA