# r.squared: R squared and adjusted R squared for panel models In plm: Linear Models for Panel Data

 r.squared R Documentation

## R squared and adjusted R squared for panel models

### Description

This function computes R squared or adjusted R squared for plm objects. It allows to define on which transformation of the data the (adjusted) R squared is to be computed and which method for calculation is used.

### Usage

```r.squared(object, model = NULL, type = c("cor", "rss", "ess"), dfcor = FALSE)
```

### Arguments

 `object` an object of class `"plm"`, `model` on which transformation of the data the R-squared is to be computed. If `NULL`, the transformation used to estimate the model is also used for the computation of R squared, `type` indicates method which is used to compute R squared. One of `"rss"` (residual sum of squares), `"ess"` (explained sum of squares), or `"cor"` (coefficient of correlation between the fitted values and the response), `dfcor` if `TRUE`, the adjusted R squared is computed.

### Value

A numerical value. The R squared or adjusted R squared of the model estimated on the transformed data, e. g., for the within model the so called "within R squared".

`plm()` for estimation of various models; `summary.plm()` which makes use of `r.squared`.

### Examples

```
data("Grunfeld", package = "plm")
p <- plm(inv ~ value + capital, data = Grunfeld, model = "pooling")
r.squared(p)
r.squared(p, dfcor = TRUE)

```

plm documentation built on Aug. 16, 2022, 5:15 p.m.