fastDummies | quickly create dummy variables and dummy rows | Mock library
kandi X-RAY | fastDummies Summary
kandi X-RAY | fastDummies Summary
The goal of fastDummies is to quickly create dummy variables (columns) and dummy rows. Creating dummy variables is possible through base R or other packages, but this package is much faster than those methods.
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fastDummies Examples and Code Snippets
Community Discussions
Trending Discussions on fastDummies
QUESTION
I wrote this code and used
...ANSWER
Answered 2021-Jun-08 at 03:01The prefix substring in the column names can be removed with sub
by matching the 'CountyName_' as pattern and replace it with blank (""
) on the names
of the 'New_Data'` and assign it back
QUESTION
I borrowed a little example from here
...ANSWER
Answered 2021-Jun-06 at 13:04You can use relevel
to set the reference to be the last dummy (in this case c
):
QUESTION
I have a COVID-19 policies dataset with a date column and many columns with dummy variables. The exact data I'm using is the following:
...ANSWER
Answered 2021-May-14 at 22:40Here's a method by reshaping longer, selecting mode, and reshaping wide again.
QUESTION
I want to combine the graph for cleaned_wbdata and the graph for totalprices into one single stacked bar chart, that would ideally present the counts as percentages. Any help would be appreciated. Example for the data sets:
...ANSWER
Answered 2020-Dec-03 at 13:20Are you looking for something like this:
QUESTION
I have a data frame where a variable is a list of other variables.
...ANSWER
Answered 2020-Nov-26 at 04:50Does this work:
QUESTION
I have a panel dataset where the time and group variables were already converted to dummies. I want to reverse the transformation though back to a simple id
and time
variable.
Let's create a comparable data:
...ANSWER
Answered 2020-Nov-24 at 19:29After some thinking, I figured it out and created a small function:
QUESTION
I have a dataset of 690 observations with categorical and numerical variables. I want to perform Lasso regression but when plot Lasso curve it is not smooth and I would like to know if there is a problem with dummies or other. I reproduce an example dataset:
...ANSWER
Answered 2020-Jun-04 at 13:49If you look at the output:
QUESTION
Example:
...ANSWER
Answered 2020-Jun-15 at 00:03You can use pivot_longer
:
QUESTION
I have written code to create dummy variables for year (2014, 2015, 2016, 2017, or 2018) and region (coded as region 1, 2, 3, or 4) to add as new columns in my data frame NHIS1
. But I am now trying to knit my work as an R Markdown file and getting the error that the object YEAR
cannot be found. How could I rewrite this line of code to get the same output with my dummy columns but without the error message? Below is also a photo of what the resulting columns look like.
ANSWER
Answered 2020-May-17 at 07:53You need to use quotes, write c("YEAR", "REGION")
.
QUESTION
I have a field with multiple categories separated by a comma. It looks like the following:
...ANSWER
Answered 2020-Mar-13 at 06:23I copy and pasted your data "as is" into a script and applied some regex. Thus, you can pretty much ignore the first part. In the second part the comma separated items are splited and expanded/unlisted for each row and then fed to dcast, which creates a column for each value of "category".
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