Displaying 2 results from an estimated 2 matches for "lmmod".
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rmmod
2019 May 25
3
Increasing number of observations worsen the regression model
I have the following code:
```
rm(list=ls())
N = 30000
xvar <- runif(N, -10, 10)
e <- rnorm(N, mean=0, sd=1)
yvar <- 1 + 2*xvar + e
plot(xvar,yvar)
lmMod <- lm(yvar~xvar)
print(summary(lmMod))
domain <- seq(min(xvar), max(xvar))??? # define a vector of x values to
feed into model
lines(domain, predict(lmMod, newdata = data.frame(xvar=domain)))??? #
add regression line, using `predict` to generate y-values
```
I expected the coefficients to...
2004 Jun 14
0
inheritance problem in multcomp package (PR#6978)
...t;
[5] "package:stats" "package:utils" "package:graphics" "package:lattice"
[9] "package:grid" "Autoloads" "package:base"
> ## from R/rw1091alpha/library/multcomp/R-ex/simint.R
> data(recovery)
> lmmod <- lm(minutes ~ blanket, data=recovery, contrasts=list(blanket =
+ "contr.Dunnett"))
> summary(simint(lmmod, psubset=2:4, conf.level=0.9,
+ alternative="less",eps=0.0001))
Simultaneous 90% confidence intervals: model contrasts
model contrast...