forcats | ππππ: tools for working with categorical variables (factors) | Data Visualization library
kandi X-RAY | forcats Summary
kandi X-RAY | forcats Summary
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 youβre new to factors, the best place to start is the chapter on factors in R for Data Science.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of forcats
forcats Key Features
forcats Examples and Code Snippets
Community Discussions
Trending Discussions on forcats
QUESTION
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 01:25I prepared two solutions that both report the proportion of missing data. Hopefully one of them works for you!
QUESTION
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 20:53Here 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:
QUESTION
I have followed barplot example:
...ANSWER
Answered 2022-Jan-26 at 15:44To get the mean of values by size, you could create a mean
column first,
QUESTION
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 13:09Your 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.
QUESTION
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 19:36We may use combn
on the levels
of the 'marital'
QUESTION
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 21:40Update:
Ok then you could use factor
instead of as.factor
and set levels directly:
QUESTION
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 05:49Add this after the YAML and then the method between :::
will work:
QUESTION
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 15:57This 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
QUESTION
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 18:43We can use the levels
QUESTION
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 01:48Thanks 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:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install forcats
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page