search for: averged

Hi All, I am trying to cluster a one-dimensional data (see the file attached) using Mclust() but got an error message like: >Mclust(x) Error in rep(1, n) : Object "n" not found When I do a simulation sometimes it works sometimes doesn't. >Mclust(c(rnorm(50),rnorm(56,-0.5))) Error in rep(1, n) : Object "n" not found >Mclust(c(rnorm(56),rnorm(56,-0.5))) best

...0.110 1 0.280 2 0.230 2 0.156 3 0.070 3 0.185 3 0.255 3 0.311 3 0.120 4 .... and so on When I do a basic plot with type=l or the default of points it obviously plots every point. What I would like to do is generate a line plot where the samples for each second are rolled up, averged and plotted with a bar which represents either std dev or some other aspect of variance. Can someone recommend a plotting mechanism to achieve this? I have adding lines using some of the smoothing functions but seem unable to remove the original plot line which is drawn (is there a way to jus...

I would like to impute missing data in a set of correlated variables (columns of a matrix). It looks like transcan() from Hmisc is roughly what I want. It says, "transcan automatically transforms continuous and categorical variables to have maximum correlation with the best linear combination of the other variables." And, "By default, transcan imputes NAs with "best

Hi, all; I got an unusual error while using mclust library 2.1-7 on R 2.0.1. When I tried to run Mclust(rnorm(100)), I got segmentation fault error. Does anyone know what causes this problem? I came across the same problem even when I tried to run the example shown in Mclust help using iris data. Thanks in advance, Tae-Hoon Chung -------------------------------------------------- Tae-Hoon Chung

Hi, I am not very familiar with complex ANOVA, so, I am not sure about the formula to use with aov() in this particular case. Could someone help me? Here is my data. I have an unbalanced plan with 4 factors: "Site", "Sex", "Age" and "Individual". "Site" is a 5-level fixed factor; "Sex" is of course a 2-levels fixed factor, as is