fit.gaussian: Fitting a Gaussian curve to binned data

In bayesball/LearnEDA: Functions for Learning Exploratory Data Analysis

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)

bayesball/LearnEDA documentation built on May 11, 2019, 9:22 p.m.