Displaying 20 results from an estimated 90 matches similar to: "Asking, are simple effects different from 0"
2013 Jan 27
1
decimal places in R2HTML
Dear R People:
I have an AOV model that I get confidence intervals from via
> confint(chick1.aov1)
2.5 % 97.5 %
trtA 1.472085 1.607915
trtB 1.512085 1.647915
trtC 1.328751 1.464582
>
I am using R2HTML to produce HTML output. However, the HTML code
itself just has rounded values, i.e., 1.5 and 1.6.
Has anyone run across this, please?
Any suggestions would be much appreciated.
2012 Jul 27
1
Understanding the intercept value in a multiple linear regression with categorical values
Hi!
I'm failing to understand the value of the intercept value in a
multiple linear regression with categorical values. Taking the
"warpbreaks" data set as an example, when I do:
> lm(breaks ~ wool, data=warpbreaks)
Call:
lm(formula = breaks ~ wool, data = warpbreaks)
Coefficients:
(Intercept) woolB
31.037 -5.778
I'm able to understand that the value of
2008 Mar 19
3
How to get the P-values from GLM results?
Hello all,
I have a question concerning how to get the P-value for a explanatory
variables based on GLM.
I'll run multiple regressions with GLM, and I'll need the P-value for the
same explanatory variable from these multiple GLM results.
I check the help and there are quite a few Value options but I just can
not find anyone about the p-value.
Could anyone help me with that?
2012 Jun 13
1
Tukey Kramer with ANOVA (glm)
Hello,
I am performing a BACI analysis with ANOVA using the following glm:
fit1<-glm(log(Cucs_m+1)~(BA*Otter)+BA+Otter+ID+Primary, data=b1)
The summary(aov(fit1)) shows significance in the interaction; however, now I
would like to determine what combinations of BA and Otter are significantly
different (each factor has two levels). ID and PRIMARY substrates are
categorical and included in
2012 Mar 18
1
ANOVA testing over nested MS term
I'm still relatively new to R but was wondering if anyone could help me force
R to compute the f-statistic etc using the the nested term rather than the
residual. In my particular case we were nesting a treatment effect by a
replicated tank which was not non-significant enough (p>0.25)to be dropped
from the statistical model.
Here's my code:
2005 May 15
3
adjusted p-values with TukeyHSD?
hi list,
i have to ask you again, having tried and searched for several days...
i want to do a TukeyHSD after an Anova, and want to get the adjusted
p-values after the Tukey Correction.
i found the p.adjust function, but it can only correct for "holm",
"hochberg", bonferroni", but not "Tukey".
Is it not possbile to get adjusted p-values after
2007 Oct 22
2
Repeated Measures/Linear Mixed Effects function
I have three columns of data, Xc, Trt and fish. This was a repeated
measures design with 6 measurements taken from each of 5 fish. Xc is the
actual measurement, Trt is the treatment, and fish is the fish number. Data
can be seen below (hopefully it is in the column format). I would like to
look for differences between treatments in a repeated measures format. I
used the following code
2011 Aug 15
1
Get significant codes from a model output fit with GEE package
Does anyone know how could I get the significant codes from mixed model
output fitted with a GEE package?
The output I got is the following:
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Logit
Variance to Mean Relation: Binomial
Correlation Structure: Exchangeable
Call:
gee(formula = bru
2003 Jul 17
2
i need help in cluster analyse
Hello,
My name is Rodrigo, I am using R program and I have a trouble.
I am trying to do a dendrogram with genetics information.
Let me explain...
The Similarity Matrix was already did, and with this matrix I want to construct a dendrogram.
So, the distance is done. I need to transform this matrix (that I have) in a dendrogram,
I woud be very grateful if someone could help me.
PS: I am sending
2009 Feb 27
1
testing two-factor anova effects using model comparison approach with lm() and anova()
I wonder if someone could explain the behavior of the anova() and lm()
functions in the following situation:
I have a standard 3x2 factorial design, factorA has 3 levels, factorB has 2
levels, they are fully crossed. I have a dependent variable DV.
Of course I can do the following to get the usual anova table:
> anova(lm(DV~factorA+factorB+factorA:factorB))
Analysis of Variance Table
2011 Apr 21
1
Accounting for overdispersion in a mixed-effect model with a proportion response variable and categorical explanatory variables.
Dear R-help-list,
I have a problem in which the explanatory variables are categorical,
the response variable is a proportion, and experiment contains
technical replicates (pseudoreplicates) as well as biological
replicated. I am new to both generalized linear models and mixed-
effects models and would greatly appreciate the advice of experienced
analysts in this matter.
I analyzed the
2012 Jul 27
2
producing a graph with glm poisson distributed respons count data and categorical independant variables
Hello,
I am working on my thesis and can't really figure out how to produce a
reasonable graph from the output from my glm.,
I could just give the R-output in my results and then discuss them, but it
would be more interesting if I could visualise what is going on.
My research is how bees react to different fieldmargins, for this I have 4
different types of field margin (A,B,C & D) and
2008 Apr 15
2
glht with a glm using a Gamma distribution
Quick question about the usage of glht. I'm working with a data set
from an experiment where the response is bounded at 0 whose variance
increases with the mean, and is continuous. A Gamma error
distribution with a log link seemed like the logical choice, and so
I've modeled it as such.
However, when I use glht to look for differences between groups, I get
significant
2008 Feb 03
1
Effect size of comparison of two levels of a factor in multiple linear regression
Dear R users,
I have a linear model of the kind
outcome ~ treatment + covariate
where 'treatment' is a factor with three levels ("0", "1", and "2"),
and the covariate is continuous. Treatments "1" and "2" both have
regression coefficients significantly different from 0 when using
treatment contrasts with treatment "0" as the
1999 Nov 30
3
model.tables
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2019 Apr 17
2
IPv6 transport results in ICE with only IPv6 candidates
Hi,
I'm using Asterisk 13.x and have defined a pjsip TCP IPv6 transport:
[transport-tcp-ipv6]
type=transport
protocol=tcp
bind=[2001:1234:5678:abcd::2]:5060
I also have an IPv4 version of that:
[transport-tcp-ipv4]
type=transport
protocol=tcp
bind=10.75.22.8:5060
I've then configured an endpoint to use it:
[outgoing]
type = endpoint
context = default
dtmf_mode = none
disallow = all
2010 Apr 30
0
extracting pairs from correlation matrix and p-value matrix
Dear All,
I am working on a large matrix of dimension 20000x700 say 'mat'. I
have calculated pearson correlation for the rows of the matrix and
their p-values using rcorr function in library Hmisc. Now I wish to
filter out those pairs who's PCC value is above 0.8 cut off and
p-value is less than 0.05.
>library(Hmisc)
>mat_cor=rcorr(t(mat),type="pearson")
2019 Jan 09
0
openVswitch
hi guys
I'm trying a typical, I'd presume, setup: two libvirt hosts with one lxc
guest each.
boxA:
$ ovs-vsctl show
1a6a2e4f-11f3-48df-becd-03b59d00a1fb
Bridge "ovsbr0"
Port nm-team
trunks: [55]
Interface nm-team
Port "vnet12"
trunks: [55]
Interface "vnet12"
Port
2008 Nov 05
1
Problems computing 2-way-mixed-model ANOVA
Dear Experts,
I am new to R and unfortunately cannot start with a simply statistical
analysis:
I manually determined the volume of the right and left hippocampus in
a group of meditators and in a group of controls. My data-sheet looks
as follows:
observation subject group age gender hemisphere volume
1 am04 m 25 f left 3.637
2 am04 m 25 f right 3.713
3 ao08 m 47 m left 3.715
4 ao08 m 47
2010 Sep 17
1
odfWeave UTF-8 error and latin characters
Hello R masters,
I have sent this same message to other lists and none so far could give some
light. I was trying to use odfWeave to generate a report from R and Im
getting an error that I think is related to latin characters. I looked
around and did find some stuff related to this problem about Sweave
http://labmoluscos.wordpress.com/2010/02/18/sweave-latex-character-encoding/
but
did not find a