fit.gaussian: Fitting a Gaussian curve to binned data

Description Usage Arguments Value Author(s) Examples

View source: R/fit.gaussian.R

Description

Fits a Gaussian curve with known mean and standard deviation to binned data.

Usage

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fit.gaussian(data,bins,g.mean,g.sd)

Arguments

data

numeric vector of values of variable

bins

a vector giving the breakpoints between histogram cells

g.mean

mean of Gaussian distribution

g.sd

standard deviation of Gaussian distribution

Value

counts

vector of frequencies of the bins

probs

vector of fitted probabilities of the bins

expected

vector of expected frequencies of the bins

residual

vector of simple rootogram residuals

Author(s)

Jim Albert

Examples

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# fit Gaussian curve to simulated data from t distribution
data=rt(200,df=5)
bins=pretty(range(data))
g.mean=0
g.sd=1
fit.gaussian(data,bins,g.mean,g.sd)

bayesball/LearnEDAfunctions documentation built on Sept. 20, 2020, 2:45 p.m.