fit.gaussian {LearnEDA}R Documentation

Fitting a Gaussian curve to binned data

Description

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

Usage

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

# 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)

[Package LearnEDA version 1.01 Index]