Create Matrix In R

A matrix in R is a two-dimensional rectangular data set and thus it can be created using vector input to the matrix function. It is similar to vector but additionally contains the dimension attribute. Aug 05, 2020 The following example shows how to create a covariance matrix in R. How to Create a Covariance Matrix in R. Use the following steps to create a covariance matrix in R. Step 1: Create the data frame. First, we’ll create a data frame that contains the test scores of 10 different students for three subjects: math, science, and history.

Create

Creating a Risk Matrix in R NASA Risk Matrix. Whenever program or project risk is being identified, it is a common practice at NASA, like many other organizations to use a 5 X 5 risk matrix with a green, yellow, red coding for visualization of the risk. Recently a colleague asked for help in visualizing the matrix in Excel.


Previously, we described the essentials of R programming and provided quick start guides for importing data into R.


Here, we’ll describe how to produce a matrix of scatter plots. This is useful to visualize correlation of small data sets. The R base function pairs() can be used.


  1. Launch RStudio as described here: Running RStudio and setting up your working directory

  2. Prepare your data as described here: Best practices for preparing your data and save it in an external .txt tab or .csv files

  3. Import your data into R as described here: Fast reading of data from txt csv files into R: readr package.

Here, we’ll use the R built-in iris data set.

iris data is used in the following examples. iris data set gives the measurements in centimeters of the variables sepal length and width, and petal length and width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica.

  • Basic plots:
  • Show only upper panel:

Note that, to keep only lower.panel, use the argument upper.panel=NULL

  • Color points by groups (species)
  • Add correlations on the lower panels: The size of the text is proportional to the correlations.
  • Add correlations on the scatter plots:

The function pairs.panels [in psych package] can be also used to create a scatter plot of matrices, with bivariate scatter plots below the diagonal, histograms on the diagonal, and the Pearson correlation above the diagonal.

If lm = TRUE, linear regression fits are shown for both y by x and x by y. Correlation ellipses are also shown. Points may be given different colors depending upon some grouping variable.

This analysis has been performed using R statistical software (ver. 3.2.4).

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data.matrix {base}R Documentation

Convert a Data Frame to a Numeric Matrix

Description

Return the matrix obtained by converting all the variables in a dataframe to numeric mode and then binding them together as the columns ofa matrix. Factors and ordered factors are replaced by their internalcodes.

Usage

Arguments

Create Identity Matrix In R

frame

a data frame whose components are logical vectors,factors or numeric or character vectors.

rownames.force

logical indicating if the resulting matrixshould have character (rather than NULL)rownames. The default, NA, uses NULLrownames if the data frame has ‘automatic’ row.names or for azero-row data frame.

Details

Logical and factor columns are converted to integers. Charactercolumns are first converted to factors and then to integers. Any othercolumn which is not numeric (according to is.numeric) isconverted by as.numeric or, for S4 objects,as(, 'numeric'). If all columns are integer (afterconversion) the result is an integer matrix, otherwise a numeric(double) matrix.

Value

If frame inherits from class 'data.frame', an integer ornumeric matrix of the same dimensions as frame, with dimnamestaken from the row.names (or NULL, depending onrownames.force) and names.

Otherwise, the result of as.matrix.

Note

The default behaviour for data frames differs from R < 2.5.0 whichalways gave the result character rownames.

References

How To Create Matrix In R

Chambers, J. M. (1992)Data for models.Chapter 3 of Statistical Models in Seds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

See Also

as.matrix,data.frame,matrix.

Examples