Hi all,
I've seen recently this great post by Nikita Murzintcev
http://rpubs.com/nikita-moor/107657. If I understood correctly, according
to Griffiths (2004) I should select 11 topics? But, it seems that other
metrics suggest quite different number of topics?
I mean, 11 topics is about the right
Hi,
I'm trying to fit regression model, but there is something wrong with it.
The dataset contains 85 observations for 85 students.Those observations are
counts of several actions, and dependent variable is final score. More
precisely, I have 5 IV and one DV. I'm trying to build regression model
question isn't really an R question but rather a
statistics/linear modelling
question. It is possible that you might get some insight from Frank
Harrel's book
Regression Modelling Strategies (Springer, 2001).
cheers,
Rolf Turner
On 11/22/13 12:52, srecko joksimovic wrote:
Hi
Thanks Uwe,
I wasn't quite sure about that one... when I build model with that
particular variable, that is what happen. have to check why...
Best,
Srecko
On Sun, Oct 13, 2013 at 5:45 AM, Uwe Ligges lig...@statistik.tu-dortmund.de
wrote:
On 13.10.2013 02:52, srecko joksimovic wrote:
ok
Hi,
I'm trying to user lmer function from lmerTest package because, if I
understood correectly, it allows to make better inference than lmer method
from lme4 package. However, whatever I do I keep getting this error:
Error in lme4::lFormula(formula = mark ~ ssCount + sTime+ : rank of X =
1660
: OO#.. Playing
Research Engineer (Solar/BatteriesO.O#. #.O#. with
/Software/Embedded Controllers) .OO#. .OO#. rocks...1k
---
Sent from my phone. Please excuse my brevity.
srecko
I have an example of multilevel analysis with 3 levels, but data are
non-normally distributed. In case of normal distribution, I would perform
multilevel linear analysis using lme function, but what should I do in case
of non-normal distribution?
thanks,
Srecko
[[alternative HTML version
:50 PM, srecko joksimovic wrote:
I have an example of multilevel analysis with 3 levels, but data are
non-normally distributed. In case of normal distribution, I would perform
multilevel linear analysis using lme function, but what should I do in
case
of non-normal distribution
:
On Sep 30, 2013, at 3:22 PM, srecko joksimovic wrote:
I thought so, but then I found this:
Normality
The assumption of normality states that the error terms at every level
of the model are normally distributed
maybe I misinterpreted something.
Notice that it is the _error_terms_
a query that works.
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf
Of srecko joksimovic
Sent: Tuesday, September 17, 2013 9:04 AM
To: R help
Subject: [R] Unrecognized
Hi,
when I generate query using sqldf library, like this:
query = paste(paste(select * from tbl_user where student_id = , id,
sep=), order by date_time, sep=)
student - sqldf(query)
everything works fine in case the id is 21328, 82882, or something like
that. But, when id is
to be
key to getting valid SQL syntax... but looking at the query before shipping
it off to a database engine seems to me to be an obvious technique you
should learn.
On Tue, 17 Sep 2013, srecko joksimovic wrote:
There is no difference, the same query structure is in the both
cases:6683
.
srecko joksimovic sreckojoksimo...@gmail.com wrote:
Hi,
when I generate query using sqldf library, like this:
query = paste(paste(select * from tbl_user where student_id = , id,
sep=), order by date_time, sep=)
student - sqldf(query)
everything works fine in case the id
17, 2013 at 9:47 AM, srecko joksimovic
sreckojoksimo...@gmail.com wrote:
thanks, Jeff,
good point... I'll try that
On Tue, Sep 17, 2013 at 9:43 AM, Jeff Newmiller
jdnew...@dcn.davis.ca.uswrote:
Why don't you print the 'query' variable with each id value and consider
what the SQL syntax
Hi,
I had an example like this:
iduseraction
1 12 login
2 12 view
3 12 view
4 12 view
5 12 login
6 12 view
7 12 view
8 12 login
which I used to split using split(dat1,cumsum(dat1$action==login)).
If I had a
ip1
2 12 ip1
3 12 ip2
4 12 ip2
5 12 ip2
6 12 ip3
7 12 ip3
8 12 ip3
, header = TRUE)
split(dat, dat$IP)
Hope this helps,
Rui Barradas
Em 16-09-2013 22:57, srecko joksimovic escreveu:
Hi,
I had an example
Hi,
I have a following data set:
ideventtime (in sec)
1 add 1373502892
2 add 1373502972
3 delete 1373502995
4 view 1373503896
5 add 1373503996
...
I'd like to add new column time on task which is time elapsed between two
events (id2 - id1...).
1373502995 23
#4 4 view 1373503896 901
#5 5add 1373503996 100
#Not sure whether this depends on the values of event or not..
A.K.
- Original Message -
From: srecko joksimovic sreckojoksimo...@gmail.com
To: R help R-help@r-project.org
Cc:
Sent
On Thu, Aug 29, 2013 at 11:22 AM, arun smartpink...@yahoo.com wrote:
Hi Srecko,
No problem.
Regards,
Arun
From: srecko joksimovic sreckojoksimo...@gmail.com
To: arun smartpink...@yahoo.com
Sent: Thursday, August 29, 2013 2:22 PM
Subject: Re: [R
Thanks Berend,
I don't know why I didn't try that before posting the question... but...
anyways, thanks for your help
Srecko
On Thu, Aug 29, 2013 at 11:34 AM, Berend Hasselman b...@xs4all.nl wrote:
On 29-08-2013, at 20:15, srecko joksimovic sreckojoksimo...@gmail.com
wrote:
Thanks Arun
=31idp=45
A.K.
From: srecko joksimovic sreckojoksimo...@gmail.com
To: arun smartpink...@yahoo.com
Sent: Thursday, August 29, 2013 5:38 PM
Subject: Re: [R] Add new calculated column to data frame
Hi Arun,
I really appreciate your help, and we did
.
From: srecko joksimovic sreckojoksimo...@gmail.com
To: arun smartpink...@yahoo.com
Sent: Thursday, August 29, 2013 6:04 PM
Subject: Re: [R] Add new calculated column to data frame
Did you mean to separate the number 33 from the link? , yes that is
correct. It should be something like
Hi,
I have a data set with structure similar to this:
iduseraction
1 12 login
2 12 view
3 12 view
4 12 view
5 12 login
6 12 view
7 12 view
8 12 login
I want to create a list of sessions. That means to split
view
#7 7 12 view
#
#$`3`
# id user action
#8 8 12 login
A.K.
- Original Message -
From: srecko joksimovic sreckojoksimo...@gmail.com
To: R-help@r-project.org
Cc:
Sent: Tuesday, August 27, 2013 3:29 PM
Subject: [R] Iterate over rows and update values based on condition
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