Compute the Number of Non-missing Observations
Compute the number of non-missing observations. Provides a 'default' method to handle vectors, and a method for data frames.
nobs(object, ...) ## Default S3 method: nobs(object, ...) ## S3 method for class 'data.frame' nobs(object, ...) ## S3 method for class 'lm' nobs(object, ...)
object |
Target Object |
... |
Optional parameters (currently ignored) |
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.
Either single numeric value (for vectors) or a vector of numeric values (for data.frames) giving the number of non-missing values.
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.
Gregory R. Warnes greg@warnes.net
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)
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