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Matrix manipulation in R are very useful in Linear Algebra. Below are lists of common yet important functions in dealing operations with matrices:**Analysis with R**, and kindly contributed to R-bloggers)- Transpose -
**t** - Multiplication -
**%*%** - Determinant -
**det** - Inverse -
**solve**, or**ginv**of MASS library - Eigenvalues and Eigenvectors -
**eigen**

Transposing these, simply use

**t**

Now multiplying these two matrices, that would be

For the determinant, we have

Taking the inverse of

**matrix1**is achieved by

**solve**or

**ginv**R functions. Note that

**ginv**is in MASS package,

And finally, for eigenvalues and eigenvectors simply use

**eigen**

The output above returns the

**$values**, which is the eigenvalues, and

**$vectors**, the eigenvectors.

More about matrix here.

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