# Chisq-class

0th

Percentile

##### Class "Chisq"

The chi-squared distribution with df$= n$ degrees of freedom has density $$f_n(x) = \frac{1}{{2}^{n/2} \Gamma (n/2)} {x}^{n/2-1} {e}^{-x/2}$$ for $x > 0$. The mean and variance are $n$ and $2n$.

The non-central chi-squared distribution with df$= n$ degrees of freedom and non-centrality parameter ncp $= \lambda$ has density $$f(x) = e^{-\lambda / 2} \sum_{r=0}^\infty \frac{(\lambda/2)^r}{r!}\, f_{n + 2r}(x)$$ for $x \ge 0$. For integer $n$, this is the distribution of the sum of squares of $n$ normals each with variance one, $\lambda$ being the sum of squares of the normal means.

C.f. rchisq

Keywords
distribution
##### Note

Warning: The code for pchisq and qchisq is unreliable for values of ncp above approximately 290.

##### Objects from the Class

Objects can be created by calls of the form Chisq(df, ncp). This object is a chi-squared distribution.

##### Slots

img

Object of class "Reals": The space of the image of this distribution has got dimension 1 and the name "Real Space".

param

Object of class "ChisqParameter": the parameter of this distribution (df and ncp), declared at its instantiation

r

Object of class "function": generates random numbers (calls function rchisq)

d

Object of class "function": density function (calls function dchisq)

p

Object of class "function": cumulative function (calls function pchisq)

q

Object of class "function": inverse of the cumulative function (calls function qchisq)

.withArith

logical: used internally to issue warnings as to interpretation of arithmetics

.withSim

logical: used internally to issue warnings as to accuracy

.logExact

logical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function

.lowerExact

logical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function

Symmetry

object of class "DistributionSymmetry"; used internally to avoid unnecessary calculations.

##### Extends

Class "ExpOrGammaOrChisq", directly. Class "AbscontDistribution", by class "ExpOrGammaOrChisq". Class "UnivariateDistribution", by class "AbscontDistribution". Class "Distribution", by class "UnivariateDistribution".

##### Is-Relations

By means of setIs, R knows'' that a distribution object obj of class "Chisq" with non-centrality 0 also is a Gamma distribution with parameters shape = df(obj)/2, scale = 2.

##### Methods

initialize

signature(.Object = "Chisq"): initialize method

df

signature(object = "Chisq"): returns the slot df of the parameter of the distribution

df<-

signature(object = "Chisq"): modifies the slot df of the parameter of the distribution

ncp

signature(object = "Chisq"): returns the slot ncp of the parameter of the distribution

ncp<-

signature(object = "Chisq"): modifies the slot ncp of the parameter of the distribution

+

signature(e1 = "Chisq", e2 = "Chisq"): For the chi-squared distribution we use its closedness under convolutions.

ChisqParameter-class AbscontDistribution-class Reals-class rchisq

##### Aliases
• Chisq-class
• Chisq
• initialize,Chisq-method
##### Examples
# NOT RUN {
C <- Chisq(df = 1, ncp = 1) # C is a chi-squared distribution with df=1 and ncp=1.
r(C)(1) # one random number generated from this distribution, e.g. 0.2557184
d(C)(1) # Density of this distribution is 0.2264666 for x = 1.
p(C)(1) # Probability that x < 1 is 0.4772499.
q(C)(.1) # Probability that x < 0.04270125 is 0.1.
## in RStudio or Jupyter IRKernel, use q.l(.)(.) instead of q(.)(.)
df(C) # df of this distribution is 1.
df(C) <- 2 # df of this distribution is now 2.