Dear List,
how can I draw the following path diagram
A B C D E F
\ | / \ | /
G -- H
/ \/ \
I JK L
the problem I've got is that G and H need to be horizontally alingned
but the best I've done is diagonally or vertically alingned,
kind regards,
Rene
## Begin: R-code
Dear List,
given a vecor of times in 5,15 and 30 minutes and a start point
in time, lets say 09:30:00, how do I add up those times
to the start time getting a cumulative time sequence?
mt-times(c('00:05:00', '00:15:00', '00:30:00'))
mt wanted
00:05:00 09:35:00
00:15:00 09:50:00
00:30:00
) + cumsum(mt)
Michael
On Tue, Apr 24, 2012 at 11:35 AM, René Mayer
ma...@psychologie.tu-dresden.de wrote:
Dear List,
given a vecor of times in 5,15 and 30 minutes and a start point
in time, lets say 09:30:00, how do I add up those times
to the start time getting a cumulative time sequence?
mt
Dear John and Duncan,
thanks for your ideas! Unfortunatly, calling spheres from rgl
did not resolve the problem on my machine.
Both - spheres3d() and rgl.spheres() -
behave the same: black spheres, all aqual colored.
The only difference beeing the looking angle and thebackround color.
Seems to
murdoch.dun...@gmail.com:
On 12-04-13 5:32 AM, René Mayer wrote:
Dear John and Duncan,
thanks for your ideas! Unfortunatly, calling spheres from rgl
did not resolve the problem on my machine.
Both - spheres3d() and rgl.spheres() -
behave the same: black spheres, all aqual colored.
The only
Dear List,
I don't get scatter3d to color the sheres according to the '|' argument.
library(car)
scatter3d(prestige ~ income + education|type, data=Prestige)
The spheres on my screen are all colored the same and they are not
conditional on Prestige$type.
On the other hand: Fit3d and Ellipse3d
Dear All,
I have a binomial response with one continuous predictor (d) and one
factor (g) (8 levels dummy-coded).
glm(resp~d*g, data, family=binomial)
Y=b0+b1*X1+b2*X2 ... b7*X7
how can I get the inflection point per group, e.g., P(d)=.5
I would be grateful for any help.
Thanks in
|-b0
-b0=b1*X |/b1
-b0/b1=X
but I was hoping there might a more general solution for the case of
multiple logistic regression.
HTH
René
Zitat von David Winsemius dwinsem...@comcast.net:
On Dec 1, 2011, at 8:24 AM, René Mayer wrote:
Dear All,
I have a binomial response with one
Thanks again Gavin!,
this is very clear and enlightening,
vegan is an amazing package! It's a pleasure to use it.
the best,
René
--
Dr. René Mayer Email: ma...@psychologie.tu-dresden.de
Research Assistant Phone: +49-351-463-34568
Department of Psychology
Dear all,
How can I run a constrained correspondence analysis with
the following data:
15 animals were measured repeatedly month-wise (over to 2 years)
according to ther diet composition (8 food categories).
our data.frame looks like this:
food 1 2 ... 8 sex season year animal
freq 12 8
variation).
thanks,
René
--
Dr. René Mayer Email: ma...@psychologie.tu-dresden.de
Research Assistant Phone: +49-351-463-34568
Department of Psychology Fax: +49-351-463-33522
Dresden University of Technology Web: http://tu-dresden.de/en
Zitat von Gavin
dear all,
I want to make a dotplot with ratings from Items in 6 ItemsGroups.
I reordered the items by rating within each group.
I plotted the items by rating conditional on ItemGroup.
The ordering works as I wanted but my y-aches labels (items) within
each ItemGroup are now unequally spaced,
Dear All,
when I'm running a PCA with
prcomp(USArrests, scale = TRUE)
I get the right principal components, but with the wrong sign infront
Rotation:
PC1 PC2 PC3 PC4
Murder 0.5358995 -0.4181809 0.3412327 0.64922780
Assault 0.5831836 -0.1879856 0.2681484 -0.74340748
UrbanPop 0.2781909
are along the same axis, only in a different direction. So there
is no problem :).
hope this helps,
Paul
On 09/09/2011 09:01 AM, René Mayer wrote:
Dear All,
when I'm running a PCA with
prcomp(USArrests, scale = TRUE)
I get the right principal components, but with the wrong sign infront
this helps,
Ted.
On 09-Sep-11 09:42:49, René Mayer wrote:
thanks for pointing out Paul,
but the thing which is annoying me in the first place IS this
direction reversal.
this makes no sense for me
why could this be?
Zitat von Paul Hiemstra paul.hiems...@knmi.nl:
Hi,
If all the signs are switched
Dear List,
I'm trying to draw vector in XYZ with rgl under use of a cylinder3d.
Therefore I scale and rotate a basis-cylinder).
However, somehow the rotation is wrong as
verified by overplotting arrow3d().
Where is my mistake?
library(heplots)
library(rgl)
# ... 2 vectors
=c(0,0,0),end=data[,2],'green')
arrow3d(c(0,0,0),data[,1],color='red');arrow3d(c(0,0,0),data[,2],
color='green')
axes3d(c('x','y','z'));title3d('main','sub','X','Y','Z');box3d()
On 11-08-09 5:22 AM, René Mayer wrote:
Dear List,
I'm trying to draw vector in XYZ with rgl under use
Hello,
how can one merge two data frames when in the second data frame one
column defines the start values
and another defines the end value of the to be merged range.
data.frame.1
time ...
13
24
35
46
55
...
data.frame.2
start end
24 37 ?h? ?
...
should result in this
13 NA
24 ?h?
35 ?h?
46
(... once you fix the error in the example.)
--
David
but you might
try a package that allows you to use SQL, such as sqldf.
On 5/14/11 8:03 AM, David Winsemius dwinsem...@comcast.net wrote:
On May 14, 2011, at 8:12 AM, René Mayer wrote:
Hello,
how can one merge
And what happened when you
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of René Mayer
Sent: Saturday, May 14, 2011 11:06 AM
To: David Winsemius
Cc: r-help@r-project.org
Subject: Re: [R] how to merge within range?
thanks David and Ian,
let me make a better example
Dear mixed modelers,
If I have interactions between a categorical
covariate and a random-effects grouping factor.
How can I test formally the correlations?
For example
data(Machines, package = MEMSS)
fm2aM - lmer(score ~ Machine + (0 + Machine|Worker), Machines)
Random effects:
Groups Name
Dear Everybody:
I want to test an interaction of two repeated measures in lmer()
I've response times (Y) from N subjects with two within-subject-factors.
aov(Y ~ A*B + Error(subjects/A*B), ...) shows an insigificant
interaction p(A:B) = .35
now lmer()
lm1 = lmer(Y ~ 1+A+B+(1+A*B|subjects),
Dear R community,
I've data-set with reaction times and count data (answers - yes, no)
of N subjects under conditions A, B.
For the analysis reaction time I used aov.
fit.rt = aov(rt ~ A * B + Error(subjects/(A*B)), data = m )
But how do I analyze the frequencies correctly?
example fable
,x,type=b)
# this fails ?
lines(approx(y,x),col=blue) # with xout = c(0:600)
thanks in advance,
René
--
Dr. rer. nat. Dipl.-Psych. René Mayer
Dresden University of Technology
Department of Psychology
Zellescher Weg 17
D-01062 Dresden
Tel.: +49-351-4633-4568
Email: ma...@psychologie.tu
I need is to interpolate some points and to preserve the shape.
thanks in andvance
René
Zitat von David Winsemius dwinsem...@comcast.net:
On Jan 11, 2010, at 7:44 AM, René Mayer wrote:
Dear R-users,
I have a complex line by xy-values (ordered by z).
And I would like to get interpolated y
###
--
Dr. rer. nat. Dipl.-Psych. René Mayer
Dresden University of Technology
Department of Psychology
Zellescher Weg 17
D-01062 Dresden
Tel.: +49-351-4633-4568
Email: ma...@psychologie.tu-dresden.de
--
Dr. rer. nat. Dipl.-Psych. René Mayer
26 matches
Mail list logo
