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...)) 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:...

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 ==

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

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

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

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]] :

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 <-