baytrends (version 2.0.5)

nobs: 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

Examples

# NOT RUN {
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)

# }