Compute the number of non-missing observations. Provides a 'default' method to handle vectors, and a method for data frames.
nobs(object, ...)
# S3 method for default
nobs(object, ...)
# S3 method for data.frame
nobs(object, ...)
# S3 method for lm
nobs(object, ...)Target Object
Optional parameters (currently ignored)
Either single numeric value (for vectors) or a vector of numeric values (for data.frames) giving the number of non-missing values.
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.
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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