In sigbertklinke/exams2moodle: Access routines to XML Moodle files and helper routines to simplify generating exercises for Moodle from the 'exams' package

pintegrate

pintegrate integrates about a finite interval a polynomial function multiplied with a power of x. The density is defined as

$f(x) = \begin{cases} (c_q x^q + c_{q-1} x^{q-1} + \ldots + c_0) x^p dx & \text{ for } a\leq x\leq b\ 0 & \text{ otherwise}\end{cases}$

An example:

```r

f(x)= x^2/4+x/6+10/12 for 0 <= x <= 1,

0 otherwise

p <- polynomial(10/12, 1/6, 1/4) res <- pintegrate(p, c(0, 1), 0:2)

Is density?

equal(res[1], 1)

expectation

res[2]

variance

res[3]-res[2]^2

### `vec2mat`

Converts a vector to a row- or colum matrix.

```r
x <- runif(5)
vec2mat(x)
vec2mat(x, horizontal=FALSE)

sigbertklinke/exams2moodle documentation built on July 6, 2023, 3:26 p.m.