Using Focus() On Correlations

Kevin Feasel



Simon Jackson explains how to use the focus() function in R to narrow down a data frame of correlation coefficients based on a subset of variables:

focus() works similarly to select() from the dplyr package (which is loaded along with the corrr package). You add the names of the columns you wish to keep in your correlation data frame. Extending select(), focus()will then remove the remaining column variables from the rows. This is whympg does not appear in the rows above. Here’s another example with two variables:

Click through for the entire article.

Related Posts

Linear Discriminant Analysis

Jake Hoare explains Linear Discriminant Analysis: Linear Discriminant Analysis takes a data set of cases (also known as observations) as input. For each case, you need to have a categorical variable to define the class and several predictor variables (which are numeric). We often visualize this input data as a matrix, such as shown below, with each case being a row and each variable a column. In this […]

Read More

Azure Data Lake Store File Management With httr

Leila Etaati shows how to generate RESTful statements in R using httr: In this post, I am going to share my experiment in how to do file management in ADLS using R studio, to do this you need to have below items 1. An Azure subscription 2. Create an Azure Data Lake Store Account 3. […]

Read More


August 2016
« Jul Sep »