Displaying 10 results from an estimated 10 matches for "inear".
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2018 Mar 05
5
data analysis for partial two-by-two factorial design
...sponse of 0, drugA has
an effect of 1, drugB has an effect of 2, and the effects are additive,
with no noise we would have:
> d <- data.frame(drugA = c("n","y","y"),drugB = c("n","n","y"))
> y <- c(0,1,3)
And a straighforward inear model recovers the effects:
> lm(y ~ drugA + drugB, data=d)
Call:
lm(formula = y ~ drugA + drugB, data = d)
Coefficients:
(Intercept) drugAy drugBy
1.282e-16 1.000e+00 2.000e+00
As usual, OFAT designs are blind to interactions, so that if they really
exist, the interpreta...
2010 Jul 26
0
Specification Testing in Binary Choice Models
...ch
testing for heteroscedasticty is most important for my work.
My question is if there are any packages/functions in R which can perform
these tests for glm's. I know that we have the 'lmtest' package which
includes several tests of specifications, but, as the lmtest package is for
*l*inear *m*odels, I am not sure if its results are also valid for
non-linear glm's.
Specifically, functions that could perform Logit and Probit specification
tests described in Davidson and McKinnon (1984) would be most helpful.
Thank you,
Amirreza
[[alternative HTML version deleted]]
2012 Aug 24
2
TukeyHSD output
Hi all,
Is there a R-function that orders Tukey results with conveniant letters, similar to the SPSS output (A, AB, ABC, C, etc.) .
[[alternative HTML version deleted]]
2018 Mar 05
2
data analysis for partial two-by-two factorial design
...me(drugA = c("n","y","y"),drugB = c("n","n","y"))
>
> d2 <- data.frame(trt = c("Baseline","DrugA_only","DrugA_drugB")
> >
> > > y <- c(0,1,3)
> >
> > And a straighforward inear model recovers the effects:
> >
> > > lm(y ~ drugA + drugB, data=d)
> >
> > Call:
> > lm(formula = y ~ drugA + drugB, data = d)
> >
> > Coefficients:
> > (Intercept) drugAy drugBy
> > 1.282e-16 1.000e+00 2.000e+00
>
>...
2018 Mar 05
0
data analysis for partial two-by-two factorial design
...> > d <- data.frame(drugA = c("n","y","y"),drugB = c("n","n","y"))
d2 <- data.frame(trt = c("Baseline","DrugA_only","DrugA_drugB")
>
> > y <- c(0,1,3)
>
> And a straighforward inear model recovers the effects:
>
> > lm(y ~ drugA + drugB, data=d)
>
> Call:
> lm(formula = y ~ drugA + drugB, data = d)
>
> Coefficients:
> (Intercept) drugAy drugBy
> 1.282e-16 1.000e+00 2.000e+00
I think the labeling above is rather to misle...
2018 Mar 05
0
data analysis for partial two-by-two factorial design
...esponse of 0, drugA has an effect of 1, drugB has an effect of 2, and the effects are additive, with no noise we would have:
> d <- data.frame(drugA = c("n","y","y"),drugB = c("n","n","y"))
> y <- c(0,1,3)
And a straighforward inear model recovers the effects:
> lm(y ~ drugA + drugB, data=d)
Call:
lm(formula = y ~ drugA + drugB, data = d)
Coefficients:
(Intercept) drugAy drugBy
1.282e-16 1.000e+00 2.000e+00
As usual, OFAT designs are blind to interactions, so that if they really exist, the interpretat...
2018 Mar 05
0
data analysis for partial two-by-two factorial design
...e(drugA = c("n","y","y"),drugB = c("n","n","y"))
>
> d2 <- data.frame(trt = c("Baseline","DrugA_only","DrugA_drugB")
> >
> > > y <- c(0,1,3)
> >
> > And a straighforward inear model recovers the effects:
> >
> > > lm(y ~ drugA + drugB, data=d)
> >
> > Call:
> > lm(formula = y ~ drugA + drugB, data = d)
> >
> > Coefficients:
> > (Intercept) drugAy drugBy
> > 1.282e-16 1.000e+00 2.000e+00
>
&g...
2018 Mar 05
0
data analysis for partial two-by-two factorial design
> On Mar 5, 2018, at 8:52 AM, Ding, Yuan Chun <ycding at coh.org> wrote:
>
> Hi Bert,
>
> I am very sorry to bother you again.
>
> For the following question, as you suggested, I posted it in both Biostars website and stackexchange website, so far no reply.
>
> I really hope that you can do me a great favor to share your points about how to explain the
2018 Mar 05
2
data analysis for partial two-by-two factorial design
Hi Bert,
I am very sorry to bother you again.
For the following question, as you suggested, I posted it in both Biostars website and stackexchange website, so far no reply.
I really hope that you can do me a great favor to share your points about how to explain the coefficients for drug A and drug B if run anova model (response variable = drug A + drug B). is it different from running three
2001 Nov 10
0
Summary: Teaching with R a quick survey.
...ada (Canada's central bank)
Forest Insect Group of the Royal Forest Department, Thailand.
University of Madras, India
Undergrad:
1. not-only-theoretical-parts (e.g. Statistics 2, Computational Statistics,
Quality Assurance, Factorial Design, ...).
2. 1 third year course on either genralized linear models or time series
( is switches)
3. Will use this year with our second year statistical modelling course
4. If I am brave enough with the new first year stats course
5. Main first year course + one first year service course, and for 3rd/4th
year modules in generalized linear modelling, sam...