corrgram | corrgram package provides a simple way

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kandi X-RAY | corrgram Summary

corrgram is a R library. corrgram has no vulnerabilities and it has low support. However corrgram has 33 bugs. You can download it from GitHub.

The corrgram package provides a simple way to create correlograms from raw data or a correlation matrix.

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Quality

Security

License

Reuse

Support

corrgram has a low active ecosystem.

It has 12 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 10 have been closed. On average issues are closed in 79 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of corrgram is current.

Quality

corrgram has 33 bugs (0 blocker, 0 critical, 2 major, 31 minor) and 1 code smells.

Security

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

corrgram code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

corrgram does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

corrgram releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 2847 lines of code, 0 functions and 18 files.

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

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corrgram Key Features

No Key Features are available at this moment for corrgram.

corrgram Examples and Code Snippets

No Code Snippets are available at this moment for corrgram.

Community Discussions

Trending Discussions on corrgram

How to replicate correlation plot with greyscale coefficients in the lower half and circles in upper half?

How to do the prediction for SVM in R?

Calculate overlap between binary variables

Obtain Specific Column From Correlation Heatmap

QUESTION

How to replicate correlation plot with greyscale coefficients in the lower half and circles in upper half?

Asked 2022-Apr-16 at 10:49

I'm looking to replicate this correlation plot, or at least get as close as possible to it.

Specifically, I want:

the correlation values in the lower half, with values varying on a greyscale based on absolute value
the circles in the top half, with varying diameter and on the colour scale.
I want to be able to edit the axis scale labels so that full descriptions are on the y-axis, and numeric references on the x-axis

I have gotten relatively close, but have not managed precise enough replication. I describe my closest attempts below with reproducible code. The corrplot package has gotten me closest.

...

ANSWER

Answered 2022-Apr-16 at 10:49

Out-of-the-box options are quick and nice. However, when it comes to customizing then IMHO it may be worthwhile to build up the plot from scratch using ggplot2. As a first step this involves some data wrangling to get you correlation matrix into the right shape. Also in this step I convert the categories to factors and a numeric id. Based on the ids I split the data in the upper and lower diagonal values which could then be plotted separately using a geom_point and a geom_text. Besides that it's important to add the drop=FALSE to the x and y scale to keep all factor levels and the right order. Also I use some functions to get the desired axis labels:

EDIT: Following the suggestion by @AllanCameron I added a coord_equal as the "final" touch to get a nice square matrix like look. And Thanks to @RichtieSacramento the code now maps the absolute value on the size aes.

Source https://stackoverflow.com/questions/71890644

QUESTION

How to do the prediction for SVM in R?

Asked 2022-Jan-25 at 14:47

I have 2 dataset, train_val and test. I want to build 3 models and use the models to predict the outcome. This is my 3 models:

...

ANSWER

Answered 2022-Jan-25 at 14:47

You're using the wrong table as your newdata.

You should be using test_val which has gone through the same treatment as train_val. Instead you are training using train_val, but using test as your newdata.

If you make predictions for your test_val table, both the svm and random forest models will work, and will give you 177 predictions.

You will also need to change your submission data.frame to have 177 rows instead of 418.

EDIT As discussed in the comments (although they've now been removed?), you want to predict for the test data using a model built on the train data.

Try this:

Source https://stackoverflow.com/questions/70832074

QUESTION

Calculate overlap between binary variables

Asked 2020-Aug-24 at 00:07

I'm trying to calculate how many people play different combinations of sports. I know how to calculate and plot the correlation, but I'd like to get the actual numbers of how many people fall into each combined group.

Here's a simplified demo of my data. A 1 means a given person plays the given sport, and a 0 means she does not.

...

ANSWER

Answered 2020-Aug-23 at 21:15

You can vectorize:

Source https://stackoverflow.com/questions/63551948

QUESTION

Obtain Specific Column From Correlation Heatmap

Asked 2020-May-08 at 03:04

I have a dataset called allDataNoNAs which has 19 columns for different variables.

First, using the packages:

...

ANSWER

Answered 2020-May-08 at 03:04

I was able to figure out and answer my own question, though not exactly how I wanted it (wanted it from ggcorr() ), this version suffices, however:

With my same variable names as before

Source https://stackoverflow.com/questions/61569989

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

Vulnerabilities

No vulnerabilities reported

Install corrgram

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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