epr (version 3.0)

bl: Analysis of bronken line regression

Description

The function performs analysis of broken line regression.

Usage

bl(data, xlab="Explanatory Variable", ylab="Response Variable", position=1)

Arguments

data

data is a data.frame

The first column should contain the treatments (explanatory variable) and the second column the response variable

xlab

name of explanatory variable

ylab

name of response variable

position

position of equation in the graph

top=1

bottomright=2

bottom=3

bottomleft=4

left=5

topleft=6 (default)

topright=7

right=8

center=9

Value

Returns coefficients of the models, t test for coefficients, R squared, adjusted R squared, AIC and BIC, normality test and residuals.

See Also

lm, ea1(easyanova package), pr2, regplot

Examples

# NOT RUN {
x=c(0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08,0.09,0.10)
y=c(5.5,4,3.2,2.1,1,0.1,1.6,2.2,3,5)
y=y/100
data=data.frame(x,y)

### bl(data)



# }