search for: averg

...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 model: unequal variance with 2 groups averge/median classification uncertainty: 0.001 / 0 Can anybody help me with this? Thanks. Weidong _________________________________________________________________

...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 j...

...the committee members is absent, or late; hence the missing data. The members differ in the way they use the rating scale, in both slope and intercept (if you regress each on the mean). Many decisions end up depending on the second decimal place of the averages, so we want to do better than just averging the non-missing ratings. Maybe I'm just not seeing something really simple. In fact, the problem is simpler than transcan assumes, since we are willing to assume linearity of the regression of each variable on the other variables. Other members proposed solutions that assumed this, but th...

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