Computes Raw, Central, or Standardized moment properties of a vector of observed scores.

```
observedmoments(
x,
type = c("raw", "central", "standardized"),
orders = 4,
correct = TRUE
)
```

x

A vector of values, the distribution of which moments are to be calculated.

type

A character vector determining which moment-types are to be calculated. Permissible values are `"raw"`

, `"central"`

, and `"standardized"`

.

orders

The number of moment-orders to be calculated for each of the moment-types.

correct

Logical. Whether to include bias correction in estimation of orders. Default is `TRUE`

.

A list of moment types, each a list of moment orders.

# NOT RUN { # Generate some fictional data. Say, 100 individuals take a test with a # maximum score of 100 and a minimum score of 0. set.seed(1234) testdata <- rbinom(100, 100, rBeta.4P(100, .25, .75, 5, 3)) hist(testdata, xlim = c(0, 100)) # To compute the first four raw, central, and standardized moments for this # distribution of observed scores using observedmoments(): observedmoments(x = testdata, type = c("raw", "central", "standardized"), orders = 4, correct = TRUE) # }