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sjmisc  

Data and Variable Transformation Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sjmisc", "2.8.11")



Attach the package and use:
library("sjmisc")
Maintained by
Daniel Lüdecke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-03-22
Latest Update: 2025-07-30
Description:
Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.
How to cite:
Daniel Lüdecke (2015). sjmisc: Data and Variable Transformation Functions. R package version 2.8.11, https://cran.r-project.org/web/packages/sjmisc. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2015-03-22 08:07), 1.0.1 (2015-04-18 08:56), 1.0.2 (2015-05-18 00:50), 1.0.3 (2015-06-21 00:04), 1.1 (2015-08-26 23:40), 1.2 (2015-10-12 13:46), 1.3 (2015-11-23 12:20), 1.4 (2016-01-13 18:15), 1.5 (2016-02-11 11:30), 1.6 (2016-03-14 16:27), 1.7 (2016-04-19 08:59), 1.8 (2016-05-19 19:56), 2.0.0 (2016-09-25 19:04), 2.0.1 (2016-10-31 16:54), 2.1.0 (2016-11-13 15:42), 2.2.0 (2016-12-21 11:57), 2.2.1 (2017-01-09 09:50), 2.3.0 (2017-02-08 01:32), 2.3.1 (2017-03-07 00:37), 2.4.0 (2017-04-07 10:11), 2.5.0 (2017-06-12 14:56), 2.6.0 (2017-08-05 12:56), 2.6.1 (2017-08-20 17:46), 2.6.2 (2017-10-26 22:52), 2.6.3 (2017-11-28 01:16), 2.7.0 (2018-02-03 23:35), 2.7.1 (2018-03-25 17:37), 2.7.2 (2018-05-04 12:21), 2.7.3 (2018-06-20 14:07), 2.7.4 (2018-08-05 00:20), 2.7.5 (2018-09-13 17:30), 2.7.6 (2018-11-06 17:30), 2.7.7 (2019-01-02 14:20), 2.7.8 (2019-03-12 20:50), 2.7.9 (2019-03-17 00:00), 2.8.0 (2019-06-12 00:30), 2.8.1 (2019-06-17 14:40), 2.8.2 (2019-09-24 16:30), 2.8.3 (2020-01-10 06:30), 2.8.4 (2020-04-03 15:20), 2.8.5 (2020-05-28 17:40), 2.8.6 (2021-01-07 15:00), 2.8.7 (2021-05-12 16:30), 2.8.9 (2021-12-03 11:40), 2.8.10 (2024-05-13 15:50)
Other packages that cited sjmisc R package
View sjmisc citation profile
Other R packages that sjmisc depends, imports, suggests or enhances
Complete documentation for sjmisc
Functions, R codes and Examples using the sjmisc R package
Some associated functions: add_columns . add_rows . add_variables . all_na . big_mark . count_na . de_mean . descr . dicho . efc . empty_cols . find_var . flat_table . frq . grapes-nin-grapes . group_str . group_var . has_na . is_crossed . is_empty . is_even . is_float . is_num_fac . merge_imputations . move_columns . numeric_to_factor . rec . rec_pattern . recode_to . reexports . ref_lvl . remove_var . replace_na . reshape_longer . rotate_df . round_num . row_count . row_sums . seq_col . set_na_if . shorten_string . sjmisc-package . split_var . spread_coef . std . str_contains . str_find . str_start . tidy_values . to_dummy . to_long . to_value . trim . typical_value . var_rename . var_type . word_wrap . zap_inf . 
Some associated R codes: S3-methods.R . add_cases.R . add_columns.R . all_na.R . big_mark.R . count_na.R . de_mean.R . descr.R . dicho.R . efc.R . find_var.R . frq.R . group_str.R . group_var.R . has_na.R . helpfunctions.R . is_crossed.R . is_empty.R . is_even.R . is_float.R . is_num_fac.R . merge_df.R . merge_imputations.R . move_column.R . notin.R . num_to_fac.R . prop_table.R . re-exports.R . rec.R . rec_pattern.R . recode_mids_fun.R . recode_to.R . ref_lvl.R . remove_vars.R . replace_na.R . reshape_helpers.R . reshape_longer.R . rotate_df.R . round_num.R . row_count.R . row_sums.R . select_helpers.R . seq_col.R . set_na.R . shorten_string.R . split_var.R . spread_coef.R . std.R . str_contains.R . str_pos.R . str_start_end.R . tidy_values.R . to_dummy.R . to_long.R . to_value.R . trim.R . typical.R . var_labels.R . var_type.R . word_wrap.R . zap_inf.R . zzz.R .  Full sjmisc package functions and examples
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