Displaying 7 results from an estimated 7 matches for "rbarbarahc".
2011 Dec 12
1
how to colour labels (each label with a colour) in a dendrogram?
...))
plot(dend1, edgePar=nP, dLeaf=1, edge.root = TRUE)
# this option is not correct. I want each of my labels (text) have a
different colour but that is not what is happening. How can I do that?
I'd appreciate your help.
thanks a lot again.
Barbara
On 9 December 2011 13:44, barbara costa <rbarbarahc@gmail.com> wrote:
> I'm sorry.
>
> (dend1 <- as.dendrogram(hc))
>
> On 9 December 2011 12:10, Sarah Goslee <sarah.goslee@gmail.com> wrote:
>
>> Hi,
>>
>> On Fri, Dec 9, 2011 at 6:57 AM, barbara costa <rbarbarahc@gmail.com>
>> wrote:...
2011 Mar 18
1
predict lm doubt
Hello,
does anyone knows this predict is not resulting?
# lm predict
dfTestes3sitesCriptic$Velocity_corrected <- ifelse
(dfTestes3sitesCriptic$Season == "A" & dfTestes3sitesCriptic$BeforeAfter ==
"Before", (dfTestes3sitesCriptic$Velocity * mVel3ABefAfter), (ifelse
(dfTestes3sitesCriptic$Season == "Sp" & dfTestes3sitesCriptic$BeforeAfter ==
2011 Dec 09
1
how to add an edgetext to a dendrogram?
Hello to all,
I'd like to colour the different labels of my dendrogram. How can I do? I
guess I could to using *edgetext* and then* t.col* or *lab.col* but I don't
know how to add edgetext to my dendrogram. Can you help me please?
Example:
require(graphics); require(utils)
hc <- hclust(dist(USArrests), "ave")
plot(dend1)
labels (USArrests) [[1]] # to know how many cities
2012 Sep 14
1
linear mixed-effects models with two random variables?
Dear R users,
Does anyone knows how to run a glmm with one fixed factor and 2 random
numeric variables (indices)? Is there any way to force in the model a
separate interaction of those random variables with the fixed one?
I hope you can help me.
#eg.
Reserve <- rep(c("In","Out"), 100)
fReserve <- factor(Reserve)
DivBoulders <- rep
2012 Sep 11
0
how to perform multiple comparisons with anova.glm significant interactions?
Dear R users
I want to evaluate my significant interactions among 3 predictors in glm
(one is a factor and 2 are numeric indices).
I had a 3rd order interaction in my anova.glm and I'm wondering how to
investigate them. I read multcomp package but I found it difficult for me.
#Say e.g. (I'm not using real values and in this e.g. does not have the
interactions I'm saying - but my data
2011 Mar 25
2
error in bargraph.CI {sciplot}
Hi to all,
Does anybody knows why this is giving an error?
data(ToothGrowth)
# Two-way design with options
bargraph.CI(dose, len, group = supp, data = ToothGrowth,
xlab = "Dose", ylab = "Growth", cex.lab = 1.5, x.leg = 1,
col = "black", angle = 45, cex.names = 1.25,
density = c(0,20), legend = TRUE)
Error in dn.call[[1]] :
2012 Sep 10
2
how to create a segplot in black and white?
Hi to all
I hope you can help me.
# I'm trying to plot the following ratio data with standard error bars
(horizontal).
ratioBiomass <- c(1.327, 0.865, 1.900, 0.992, 1.469, 1.381, 1.230,1.269,
2.411, 1.288, 1.861, 0.714, 1.341, 1.362, 1.065, 2.374)
SEratio <- c(19.28, 5.04, 0.01, 0.01, 0.90, 0.02, 0.002, 11.37,
0.004, 0.29, 0.003, 0.13, 0.21, 0.52, 1.66, 14.57)
Species <-