Displaying 5 results from an estimated 5 matches for "averging".
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averaging
2003 Aug 05
2
Error on mclust
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
2004 Jun 30
2
Question about plotting related to roll-up
Hello R'ers,
I have a large set of data which has many y samples for each unit x. The data
might look like:
Seconds Response_time
---------- ----------------
0 0.150
0 0.202
0 0.065
1 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
2004 Nov 30
2
impute missing values in correlated variables: transcan?
...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 they...
2005 Jan 06
2
Segmentation fault while using Mclust function of mclust library in R-2.0.1
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
2002 Sep 02
1
formula for a mixed model ANOVA
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