R: Extract Total Number of Observations Used in Estimated...

nobs {plm} | R Documentation

## Extract Total Number of Observations Used in Estimated Panelmodel

### Description

This function extracts the total number of 'observations' from a fitted panel model.

### Usage

    ## S3 method for class 'panelmodel'
    nobs(object, ...)

### Arguments

`object` | a `panelmodel` object for which the number of total observations is to be extracted,
`...` | further arguments.

### Details

The number of observations is usually the length of the residuals vector. Thus, `nobs` gives the number of observations actually used by the estimation procedure. It is not necessarily the number of observations of the model frame (number of rows in the model frame), because sometimes the model frame is further reduced by the estimation procedure. This is e.g. the case for first–difference models estimated by `plm(..., model = "fd")` where the model frame does not yet contain the differences (see also Examples).

### Value

A single number, normally an integer.

### See Also

`pdim`

### Examples

    # estimate a panelmodel
    data("Produc", package = "plm")
    z <- plm(log(gsp)~log(pcap)+log(pc)+log(emp)+unemp,data=Produc,
             model="random", subset = gsp > 5000)

    nobs(z)       # total observations used in estimation
    pdim(z)$nT$N  # same information
    pdim(z)       # more information about the dimensions (no. of individuals and time periods)

    # illustrate difference between nobs and pdim for first-difference model
    data("Grunfeld", package = "plm")
    fdmod <- plm(inv ~ value + capital, data = Grunfeld, model = "fd")
    nobs(fdmod)  # 190
    pdim(fdmod)$nT$N # 200

[Package plm version 1.6-5 Index]