nobs {baytrends}R Documentation

Compute the Number of Non-Missing Observations

Description

Compute the number of non-missing observations. Provides a 'default' method to handle vectors, and a method for data frames.

Usage

nobs(object, ...)

Arguments

object

Target Object

...

Optional parameters (currently ignored)

Details

Calculate the number of observations in 'object'.

* For numeric vectors, this is simply the number of non-NA elements, as computed by 'sum(!is.na(object))'.

* For dataframe objects, the result is a vector containing the number of non-NA elementes of each column.

The 'nobs' and 'nobs.lm' functions defined in gtools are simply aliases for the functions in the base R 'stats' package, provided for backwards compatibility.

‘baytrends' borrowed 'gdata::nobs' ’as is' to avoid being archived in 2020. https://github.com/tetratech/baytrends/issues/56

Note

The base R package 'stats' now provides a S3 dispatch function for nobs, and methods for for objects of classes "lm", "glm", "nls" and "logLik", as well as a default method.

Since they provided a subset of the the functionality, the base method dispatch (nobs) function and method for "lm" objects ('nobs.lm') are, as of gdata version 2.10.1, simply aliases for the equivalent functions in the base R 'stats' package.

Since ‘gdata'’s default method ('nobs.default') processes vectors and hands any other data/object types to 'stats:::nobs.default'.

Author(s)

Gregory R. Warnes greg@warnes.net

Examples

x <- c(1,2,3,5,NA,6,7,1,NA )
length(x)
nobs(x)

df <- data.frame(x=rnorm(100), y=rnorm(100))
df[1,1] <- NA
df[1,2] <- NA
df[2,1] <- NA

nobs(df)

fit <- lm(y ~ x, data=df)
nobs(fit)


[Package baytrends version 2.0.5 Index]