Displaying 2 results from an estimated 2 matches for "0.049645".
2008 Mar 24
1
Great difference for piecewise linear function between R and SAS
Dear Rusers,
I am now using R and SAS to fit the piecewise linear functions, and what
surprised me is that they have a great differrent result. See below.
#R code--Knots for distance are 16.13 and 24, respectively, and Knots for y
are -0.4357 and -0.3202
m.glm<-glm(mark~x+poly(elevation,2)+bs(distance,degree=1,knots=c(16.13,24))
+bs(y,degree=1,knots=c(-0.4357,-0.3202
2008 Mar 24
0
What is the correct model formula for the results of piecewise linear function?
Dear friends,
I used the B-spline (degree=1) method to fit the piecewise linear function
and the results are listed below.
m.glm<-glm(mark~x+poly(elevation,2)+bs(distance,degree=1,knots=c(16.13,24))
+bs(y,degree=1,knots=c(-0.4357,-0.3202
)),family=binomial(logit),data=point)
summary(m.glm)
Coefficients:
Estimate Std.