corrplot | A visual exploratory tool on correlation matrix | Data Visualization library

by taiyun R Version: v0.92 License: Non-SPDX

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

kandi X-RAY | corrplot Summary

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

R package corrplot provides a visual exploratory tool on correlation matrix that supports automatic variable reordering to help detect hidden patterns among variables. corrplot is very easy to use and provides a rich array of plotting options in visualization method, graphic layout, color, legend, text labels, etc. It also provides p-values and confidence intervals to help users determine the statistical significance of the correlations. For examples, see its online vignette. This package is licensed under the MIT license, and available on CRAN:

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Support

corrplot has a low active ecosystem.

It has 237 star(s) with 83 fork(s). There are 15 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 128 have been closed. On average issues are closed in 248 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of corrplot is v0.92

Quality

corrplot has 0 bugs and 0 code smells.

Security

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

corrplot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

corrplot 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.

Reuse

corrplot releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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corrplot Key Features

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corrplot Examples and Code Snippets

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Community Discussions

Trending Discussions on corrplot

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

Problem Fitting Model in Tidymodels: Error: ! Can't use NA as column index with `[` at positions 3 and 4:\

Change color of legend in correlation matrix in R

Generate correlation matrix with specific columns and only with significant values in corrplot

Clustering differences between pheatmap and corrplot() using ward.D2 method

Saving displayed plots using for loop as SVG

Add a color for each row in a corrplot with R

ggcorrplot2 shows different significance asterisks

plotting chi-square results with corrplot raises matrix error

Error in eval(predvars, data, env) : object 'oly.success' in Regression model

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

Problem Fitting Model in Tidymodels: Error: ! Can't use NA as column index with `[` at positions 3 and 4:\

Asked 2022-Mar-21 at 01:32

I am writing a project in Tidymodels. I have created a train and test set, set out a recipe and a model. When I call workflow(), add the recipe and model, then call fit(data = df_train, I am getting the following error.

...

ANSWER

Answered 2022-Mar-20 at 09:32

I am responding to my own question.

One thing I have realised is that the problem is in the recipe step. When I replace step_str2factor with step_dummy, then everything works fine.

I still do not know why this is the case. Maybe I will need to study Tidymodels more keenly!!

Source https://stackoverflow.com/questions/71545287

QUESTION

Change color of legend in correlation matrix in R

Asked 2022-Jan-15 at 16:54

I have done the following visualization of a correlation matrix:

...

ANSWER

Answered 2022-Jan-15 at 16:50

You could define your own colorRampPalette:

Source https://stackoverflow.com/questions/70723397

QUESTION

Generate correlation matrix with specific columns and only with significant values in corrplot

Asked 2022-Jan-12 at 21:45

I have a data.frame database with 14 columns. I split these columns into two groups: [,1:6] and [,7:14].

...

ANSWER

Answered 2021-Dec-21 at 21:23

I would use the well established Hmisc::rcorr for the calculations. In corrplot::corrplot, subset both the corr= and the p.mat= with [1:6, 7:14].

Source https://stackoverflow.com/questions/70430772

QUESTION

Clustering differences between pheatmap and corrplot() using ward.D2 method

Asked 2021-Dec-20 at 21:46

I have performed Spearman correlation for my data. Then I tried to cluster and plot my data using the "ward.D2" method for corrplot()and pheatmap(). However, the order of the variables is different between the two plots.

Could someone help me clarify this point, thus correcting my code and creating the two plots with the same order of clustered variables? Thank you so much.

...

ANSWER

Answered 2021-Dec-20 at 21:46

You can create a corrplot with the same order given by pheatmap as follows:

Source https://stackoverflow.com/questions/70340505

QUESTION

Saving displayed plots using for loop as SVG

Asked 2021-Oct-22 at 10:37

How can I save an R plot that is only displayed in the "plots-pane" and not saved in the workspace?

Here simplified example on how I create my plot:

...

ANSWER

Answered 2021-Oct-22 at 09:47

You are trying to save a loop. Try this:

Source https://stackoverflow.com/questions/69674440

QUESTION

Add a color for each row in a corrplot with R

Asked 2021-Oct-19 at 10:33

I want to add a colour to each "row" of the corrplot but I haven't found any solution yet.

My code looks like this:

...

ANSWER

Answered 2021-Oct-19 at 10:33

It doesn't look like corrplot offers the functionality to colour by row. The alternative would be to build the chart in ggplot. More work, for sure, but it allows the flexibility to colour rows.

As a start of a solution:

Source https://stackoverflow.com/questions/69628822

QUESTION

ggcorrplot2 shows different significance asterisks

Asked 2021-Oct-13 at 07:40

does anybody have an idea why ggcorrplot2 shows different significance asterisks than ggcorrplot? Very confusing to me.

https://github.com/caijun/ggcorrplot2

...

ANSWER

Answered 2021-Oct-13 at 07:40

data(mtcars)
cor.matrix <- corr.test(mtcars,method = "spearman", adjust = "BH", alpha = 0.05, ci = F)
corr <- cor.matrix[["r"]]
p.mat <- cor.matrix[["p"]]
p.mat[lower.tri(p.mat)] <- t(p.mat)[lower.tri(p.mat)] #to get only the adjusted p.Values symmetrically over the plot

p.mat[lower.tri(p.mat, diag = T)] <- 1 #to set the lower triangle to 1 (this way the asterisks wont be displayed on this part of the graph)
corrplot.mixed(corr, order= "original",mar=c(0,0,2,0), tl.col = 'black', p.mat = p.mat, insig = "label_sig", sig.level = c(.001, .01, .05), pch.cex=1.5, tl.cex = .8, number.font=2, number.cex=0.8)

Source https://stackoverflow.com/questions/69539460

QUESTION

plotting chi-square results with corrplot raises matrix error

Asked 2021-Oct-06 at 23:02

I'm trying to visualize the results of chisq.test with the corrplot package and I'm getting an error I don't understand. Hope someone can enlighten me.

...

ANSWER

Answered 2021-Oct-06 at 23:02

I don't think "M" is a correlation matrix, so if you set is.corr = FALSE you get output (although I'm not sure whether the output is correct or not; p.mat is only 4 values, but you have 14 values in M so you get a bunch of warnings):

Source https://stackoverflow.com/questions/69472854

QUESTION

Error in eval(predvars, data, env) : object 'oly.success' in Regression model

Asked 2021-Sep-29 at 10:30

I have look into this problem and some people suggest that changing column name might work. But I can't seems to figure out which column is causing the issue.

my code

...

ANSWER

Answered 2021-Sep-29 at 10:30

First of all in your dput(data.new) the target variable is called oly_success and in the formula, you use oly.success, second you remove the target variable with:

Source https://stackoverflow.com/questions/69374342

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