sjmisc | Data transformation and utility functions for R | Data Visualization library

by strengejacke R Version: 2.7.5 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | sjmisc Summary

sjmisc is a R library typically used in Analytics, Data Visualization applications. sjmisc has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

. Data preparation is a common task in research, which usually takes the most amount of time in the analytical process. Packages for data preparation have been released recently as part of the tidyverse, focussing on the transformation of data sets. Packages with special focus on transformation of variables, which fit into the workflow and design-philosophy of the tidyverse, are missing. sjmisc tries to fill this gap. Basically, this package complements the dplyr package in that sjmisc takes over data transformation tasks on variables, like recoding, dichotomizing or grouping variables, setting and replacing missing values, etc. A distinctive feature of sjmisc is the support for labelled data, which is especially useful for users who often work with data sets from other statistical software packages like SPSS or Stata. The functions of sjmisc are designed to work together seamlessly with other packages from the tidyverse, like dplyr. For instance, you can use the functions from sjmisc both within a pipe-workflow to manipulate data frames, or to create new variables with mutate(). See vignette("design_philosophy", "sjmisc") for more details.

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Quality

Security

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Support

sjmisc has a low active ecosystem.

It has 143 star(s) with 23 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 18 open issues and 109 have been closed. On average issues are closed in 15 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sjmisc is 2.7.5

Quality

sjmisc has 0 bugs and 0 code smells.

Security

sjmisc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sjmisc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sjmisc is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

sjmisc releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 82378 lines of code, 0 functions and 73 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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sjmisc Key Features

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sjmisc Examples and Code Snippets

No Code Snippets are available at this moment for sjmisc.

Community Discussions

Trending Discussions on sjmisc

How to backtransform variables transformed with log1p when creating a plot using ggpredict in R

regression model into table

How to identify different types of NA data

How to rotate/transpose a tibble with list-columns

How to divide into 4 equal groups across multiple columns in R

knit sjplot as html output

Cannot install R dependencies, multitude of errors

Keyword searching a character string

R sjPlot error message: Error in sjt.lm(fit1, fit2) : could not find function "sjt.lm"

R - ggplot2 - plot_likert - Plot two different likert scales about related topic on one graph

QUESTION

How to backtransform variables transformed with log1p when creating a plot using ggpredict in R

Asked 2022-Mar-02 at 23:46

I fitted a glm model and had to transform some variables with log1p. I now want to create a ggpredict plot with a backtransformed scale. I transformed the variables before using the glm function.

here's a sample of a few variables of my original data and my code:

...

ANSWER

Answered 2022-Mar-02 at 23:46

When I can't get the built-in plot method to do what I want, I use ggpredict() to get the predicted values and build the plot myself. I couldn't make your model work (you only gave us responses where case=1) so I'm making up my own, slightly simpler example.

Load package and fit model:

Source https://stackoverflow.com/questions/71324820

QUESTION

regression model into table

Asked 2022-Feb-10 at 02:49

I have a summary regression model I want to put into a table. However, it keeps coming up with an error. Not sure what I am doing wrong here. I have included a reproducible data and steps I have taken below.

...

ANSWER

Answered 2022-Feb-10 at 00:41

You shouldn't assign the output of tab_model() to a variable - that prevents it from writing the HTML file. If you just run tab_model() without assigning it to test you'll be fine.

The following works for me:

Source https://stackoverflow.com/questions/71058447

QUESTION

How to identify different types of NA data

Asked 2022-Jan-04 at 00:51

I have a data set that has been imported into R from Stata, but was delivered to me as a .rda (I don't have access to the original Stata data set). Many of the fields are of class : "haven_labelled" "vctrs_vctr" "double". The data is coded such that there are different types of NA.

Here you can see an example of the labels and the different types of NAs

Unfortunately, R seems to interpret them all as a NA. When viewing the data in R Studio using View(dataframe) or when creating plots, all NA types show up as "NA" and cannot be differentiated between. However, when viewing the data in the R console the different types do show up.

Viewing the data with View():

Data in the R Console:

I need to be able to differentiate between the NA(c) values and the others (NA(a), NA(b)) for data analysis, but I cannot figure out how to get R to recognize that they are different.

Unfortunately, I can't make a reproducible example because I don't understand what is going on with these NAs. Is it possible to separate them out?

Any help or insight about how to approach this would be greatly appreciated!

Edit: Thank you for the responses!

Here is the output of dput(head(lapop$psc1n)):

Here is an example of a simple bar graph:

...

ANSWER

Answered 2022-Jan-04 at 00:51

I was able to do this very easily using the replace_na() function from the sjmisc package suggested by Grothendieck. I found the count_na() function from sjlabelled package helpful for validation/checking the counts of each NA type as I went.

Thanks for the responses and formatting help.

Source https://stackoverflow.com/questions/70571727

QUESTION

How to rotate/transpose a tibble with list-columns

Asked 2021-Dec-30 at 15:10

I'm trying to "rotate" to tibble that contains list-columns. In the example below, I'm trying to get from trb_1 to trb_2.

...

ANSWER

Answered 2021-Dec-30 at 15:10

Maybe

Source https://stackoverflow.com/questions/70533324

QUESTION

How to divide into 4 equal groups across multiple columns in R

Asked 2021-Nov-29 at 14:09

I am working with a large dataset and I wish to recode a large number of variables so that they are each divided into 4 equally sized groups.

I can do this to a single variable by using the split_var function from sjmisc library, as shown below:

...

ANSWER

Answered 2021-Nov-29 at 14:08

split_var uses select_helpers. So you can do:

Source https://stackoverflow.com/questions/70155868

QUESTION

knit sjplot as html output

Asked 2021-Oct-22 at 22:30

I am using sjPlot::tab_xtab to create some tables in rmarkdown (they look great!). However, the tables are generated as individual html pages in my browser, and not as a single html file. Similar to this problem here.

According to the documentation, we can use sjtab to knit tables into a html file: (this is what I want)

...

ANSWER

Answered 2021-Oct-22 at 22:30

I got your markdown running and I can see the problem.

For me the workaround below worked. It is basically your code, just that each plot isn't called in the loop, but saved to a list. Afterwards you just call each plot separately from the list l[[1]], l[[2]], l[[3]] without using a loop.

Your problem seems to appear whenever you call the plots inside a loop.

Source https://stackoverflow.com/questions/69649140

QUESTION

Cannot install R dependencies, multitude of errors

Asked 2021-Mar-09 at 01:29

I am running R 4.0.4 (Lost Library Book) in Rstudio 1.4.1106 under Ubuntu 18.04.5 LTS. I am new to R and I ultimately want to install the following packages:

...

ANSWER

Answered 2021-Mar-09 at 01:29

@user20650's suggestion solved the issue.

Go to here and follow the instructions to add a Personal Package Archive (PPA) to your system.
Use sudo apt install r-cran-magicaxis to install the package magicaxis, or replace magicaxis with the desired package. The form of the package name is in all small letters.

Source https://stackoverflow.com/questions/66536959

QUESTION

Keyword searching a character string

Asked 2021-Jan-24 at 10:26

Say I have sample strings

...

ANSWER

Answered 2021-Jan-24 at 03:08

You can combine nouns and keywords into one pattern and check if both of them are present in the string.

Source https://stackoverflow.com/questions/65866766

QUESTION

R sjPlot error message: Error in sjt.lm(fit1, fit2) : could not find function "sjt.lm"

Asked 2020-Oct-27 at 16:07

I want the summary output of my linear regression models neatly presented.

The HTML tables in this tutorial https://www.r-bloggers.com/2015/03/beautiful-tables-for-linear-model-summaries-rstats/ is exactly what I want.

The problem's that when I try to run the example code from the tutorial, I get an error message: Error in sjt.lm(fit1, fit2) : could not find function "sjt.lm"

Thanks for any help!

...

ANSWER

Answered 2020-Oct-27 at 16:07

This package has been updated since 2005. The new plot functionality is plot_model(). See website for more info: https://strengejacke.github.io/sjPlot/index.html

Source https://stackoverflow.com/questions/64557419

QUESTION

R - ggplot2 - plot_likert - Plot two different likert scales about related topic on one graph

Asked 2020-Oct-09 at 21:56

if there's a way to plot this using ggplot2 or similar it would save my day. I have likert scale data about employee benefits. One question will ask about how important is the benefit and the next will ask how satisfied the employee is with the benefit.

...

ANSWER

Answered 2020-Oct-09 at 21:56

I don't know if you can do this with plot_likert, but you can do it natively with ggplot. You need to reshape your data a bit first though:

Source https://stackoverflow.com/questions/64287353

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