n_obs {insight} | R Documentation |
This method returns the number of observation that were used to fit the model, as numeric value.
n_obs(x, ...) ## S3 method for class 'glm' n_obs(x, disaggregate = FALSE, ...) ## S3 method for class 'svyolr' n_obs(x, weighted = FALSE, ...) ## S3 method for class 'afex_aov' n_obs(x, shape = c("long", "wide"), ...) ## S3 method for class 'stanmvreg' n_obs(x, select = NULL, ...)
x |
A fitted model. |
... |
Currently not used. |
disaggregate |
For binomial models with aggregated data, |
weighted |
For survey designs, returns the weighted sample size. |
shape |
Return long or wide data? Only applicable in repeated measures designs. |
select |
Optional name(s) of response variables for which to extract values. Can be used in case of regression models with multiple response variables. |
The number of observations used to fit the model, or NULL
if
this information is not available.
data(mtcars) m <- lm(mpg ~ wt + cyl + vs, data = mtcars) n_obs(m) if (require("lme4")) { data(cbpp, package = "lme4") m <- glm( cbind(incidence, size - incidence) ~ period, data = cbpp, family = binomial(link = "logit") ) n_obs(m) n_obs(m, disaggregate = TRUE) }