forcats | 🐈🐈🐈🐈: tools for working with categorical variables (factors) | Data Visualization library

Β by Β  tidyverse R Version: v1.0.0 License: Non-SPDX

kandi X-RAY | forcats Summary

kandi X-RAY | forcats Summary

forcats is a R library typically used in Analytics, Data Visualization applications. forcats has no bugs, it has no vulnerabilities and it has low support. However forcats has a Non-SPDX License. You can download it from GitHub.

R uses factors to handle categorical variables, variables that have a fixed and known set of possible values. Factors are also helpful for reordering character vectors to improve display. The goal of the forcats package is to provide a suite of tools that solve common problems with factors, including changing the order of levels or the values. Some examples include:. You can learn more about each of these in vignette("forcats"). If you’re new to factors, the best place to start is the chapter on factors in R for Data Science.
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            kandi-support Support

              forcats has a low active ecosystem.
              It has 518 star(s) with 124 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 17 open issues and 205 have been closed. On average issues are closed in 507 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of forcats is v1.0.0

            kandi-Quality Quality

              forcats has 0 bugs and 0 code smells.

            kandi-Security Security

              forcats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              forcats code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              forcats has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              forcats releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            forcats Key Features

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            forcats Examples and Code Snippets

            No Code Snippets are available at this moment for forcats.

            Community Discussions

            QUESTION

            Add frequency and % of missing values in gtsummary
            Asked 2022-Mar-23 at 01:25
            df_nhpi %>%    
            select(AGE, SEX, MAR_STAT, HEIGHT, WEIGHT, BMI, HTN, HTNMED, MI, Smoking, COPD, CANCER, DIABETES) %>%   
            tbl_summary(by = SEX,               
                       label = list(MAR_STAT ~ 'Marital Status',        
                                    HTN ~ 'Hypertension',                            
                                    HTNMED ~ 'Hypertension Medication',                            
                                    MI ~ 'Heart Attack',                             
                                    Smoking ~ 'Smoking Status',                             
                                    COPD ~ 'Chronic Obstructive Pulmonary Disease'),               
                       type = list(c("HTN","HTNMED", "MI", "COPD", "CANCER") ~ "categorical"),               
                       missing = "ifany",               
                       missing_text = "Unknown",               
                       statistic = list(all_continuous() ~ "{mean} ({sd})",                                
                                        all_categorical() ~ "{n} ({p}%)"),               
                       digits = all_continuous() ~ 2, percent = "column") %>%   
            add_stat_label() %>%   
            add_p(test = all_continuous() ~ "t.test", pvalue_fun = 
                       function(x) style_pvalue(x, digits = 3)) %>%   
            bold_p() %>%   
            modify_caption("**Table 1. Baseline Characteristics**") %>%   bold_labels()
            
            ...

            ANSWER

            Answered 2022-Mar-23 at 01:25

            I prepared two solutions that both report the proportion of missing data. Hopefully one of them works for you!

            Source https://stackoverflow.com/questions/71580596

            QUESTION

            stop application if pushed thread had exception in Perl
            Asked 2022-Feb-22 at 13:36

            I have aplication which runs in parallel mode. Jobs are runing using threads with implmented subroutine. Subroutine "worker3" have three argumens, one parameter and two path for files. This subroutine execute R script using system commands.

            ...

            ANSWER

            Answered 2022-Feb-21 at 20:53

            Here is an example of how you can stop the main program with a status message if one of the executables run by a given thread fails:

            First, I constructed a dummy executable foo.pl like this:

            Source https://stackoverflow.com/questions/71209327

            QUESTION

            How can I plot the mean of a feature in a barplot?
            Asked 2022-Jan-26 at 15:44

            I have followed barplot example:

            ...

            ANSWER

            Answered 2022-Jan-26 at 15:44

            To get the mean of values by size, you could create a mean column first,

            Source https://stackoverflow.com/questions/70865559

            QUESTION

            How to change names inside filter for booleans in datatable in shiny?
            Asked 2022-Jan-20 at 13:09

            I have a datatable in Shiny where I use the filter option. When I want to filter a boolean column, I can choose true and false. I would like to rename these values. So instead of true and false, it should show yes and no.

            The displayed column entries are not TRUE or FALSE but checkboxes. This is important, that's why I add it to the code example.

            I had the idea to convert the booleans to factors. Then the filter shows yes and no. However, in this case all checkboxes are checked, so this doesn't work. I commented out the line that does the converting in the code below. If there is a solution without this converting step it would be nice.

            As I didn't find any option to change the values, I guess, this can only be accomplished with JavaScript code. Unfortunately, I am not really familiar with JavaScript. I hopse someone call help me here.

            ...

            ANSWER

            Answered 2022-Jan-20 at 13:09

            Your factor C in your data.frame will pass values of either "yes" or "no"; however, your JS function is checking data to see if it is TRUE or FALSE. If you compare data with "yes", then the "yes" will be considered TRUE and "no" will be considered FALSE. Let me know if this produces the desired behavior.

            Source https://stackoverflow.com/questions/70786306

            QUESTION

            How to create multiple columns from combination of pairs of another column?
            Asked 2022-Jan-18 at 19:36

            I'm trying to create multiple columns which are combinations of pairs based on another column. For example, in this reduced forcats::gss_cat dataset, there is a marital column with three values: Separated, Divorced, and Married. I'm able to create new columns like Separated_Divorced using mutate and case_when, like this:

            Reduced dataset for simplicity

            ...

            ANSWER

            Answered 2022-Jan-18 at 19:36

            We may use combn on the levels of the 'marital'

            Source https://stackoverflow.com/questions/70761337

            QUESTION

            Why is levels() not assigning the wrong level to my data?
            Asked 2022-Jan-06 at 06:52

            I'm creating a function that requires users to upload a dataset with a vector of specific characters. Under the hood, I need one column that has the vector remain character, but I also need a separate column that is identical except that that it is a factor with specific levels.

            When I try using levels() to assign the levels, I assumed R would match up the strings, but it's randomly assigning the order of the levels. How do I correct this behavior? Though the specific character values will always be the same, I won't know the order that users will upload them.

            ...

            ANSWER

            Answered 2022-Jan-05 at 21:40

            Update:

            Ok then you could use factor instead of as.factor and set levels directly:

            Source https://stackoverflow.com/questions/70599676

            QUESTION

            Theorem environment not rendering or cross-referencing in distill
            Asked 2022-Jan-05 at 20:23

            I'm trying to write a distill::distill_article blogpost which requires the use of LaTeX math environments e.g. theorem, lemma, proof etc.

            I have tried to follow these instructions and also these instructions but am unable to render the theorem environments whether using LaTeX blocks or rmarkdown blocks.

            I also note that a similar question was asked about specifically using distill::distill_article in bookdown. This fix did not work either. Note that my use-case is to use the bookdown theorem environments inside distill::distill_article, not the other way around.

            Here is a reprex for the issue:

            ...

            ANSWER

            Answered 2022-Jan-03 at 05:49

            Add this after the YAML and then the method between ::: will work:

            Source https://stackoverflow.com/questions/70557340

            QUESTION

            How to translate `recipes::step_dummy()` to `dplyr`/`tidyr` code?
            Asked 2021-Dec-31 at 01:32

            I'm trying to figure out how step_dummy() from recipes package wrangles the data. Although there's a reference page for this function, I'm still unable to wrap my head around how to do it using "regular" tidyverse tools I know. Here's some code based on recipes and rsample packages. I would like to achieve the same data output but just using dplyr/tidyr tools.

            I chose diamonds dataset from ggplot2 for this demonstration.

            ...

            ANSWER

            Answered 2021-Dec-16 at 15:57

            This is only a half answer, but this should help you see how the cut_* columns are mapped out. Try this link for a more detailed look:https://recipes.tidymodels.org/articles/Dummies.html

            Source https://stackoverflow.com/questions/70379233

            QUESTION

            How can I use fct_relabel but maintain original factor levels? Or how can I set factor levels in R with partial string matches?
            Asked 2021-Dec-28 at 18:43

            I'm trying to use fct_relabel() from forcats to relabel my factor to include the factor name and the number of rows situated with it, but when I use the function, it completely changes the levels that I set to the order the columns appear. How can I override this? My original names are consistent (e.g., the animal names), but the counts will vary. As a result, I can't rely on manually releveling by the new labels name, unless I can somehow do a partial match (e.g., the label name doesn't fully match but contains cat).

            Any help would be much appreciated!

            ...

            ANSWER

            Answered 2021-Dec-28 at 18:43

            QUESTION

            How to add median values on top of a grouped density plot?
            Asked 2021-Dec-14 at 01:48

            I apologise if this has been asked before. I am trying to add median values to the peak of a grouped density plot (example below).

            ...

            ANSWER

            Answered 2021-Dec-14 at 01:48
            Edit:

            Thanks for updating your question; I misunderstood and thought you wanted to highlight the medians (straightforward) but it sounds like you actually want the peaks (more complicated). I also thought that this was your code, not an example from https://cran.r-project.org/web/packages/ggridges/vignettes/gallery.html, so I didn't realise the Catalan_elections dataset was publicly available (e.g. from the ggjoy package).

            Here is a more relevant solution:

            Source https://stackoverflow.com/questions/70330003

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install forcats

            forcats is part of the core tidyverse, so you can load it with library(tidyverse) or library(forcats).

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            If you encounter a clear bug, please file a minimal reproducible example on github. For questions and other discussion, please use community.rstudio.com.
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