Anyone know of an R package that will allow me to do an inverse
Gaussian/Wald distribution transform of my data (reaction times)? Thanks!
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Hi,
I have a mysql table with fields userid,track,frequency e.g
u1,1,10
u1,2,100
u1,3,110
u1,4,200
u1,5,120
u1,6,130
.
u2,1,23
.
.
where "frequency" is the number of times a music track is played by a
"userid"
I need to turn my 'frequency' table into a rating table (it's for a
recommender system)
, tqm[as.character(track[1L]),]
> +, rightmost.closed = TRUE
> +) + 1L
> + )
> + , by = track]
> >
> > head(x.new)
> track userid freq rating
> [1
ntile(freq, seq(0.2, 1, by = 0.2)))
> ds$int <- with(ds, cut(freq, c(0, tq)))
> with(ds, table(int))
>
> int
> (0,1] (1,2] (2,4] (4,7] (7,16]
>10 6 7 6 6
>
> HTH,
> Dennis
>
> On Sat, May 14, 2011 at 9:42 AM, gj wrote:
> > Hi Jim,
&
11:52 PM, jim holtman wrote:
> An easy way is to just offset the quantiles by a small increment so
> that boundary condition is less likely. If you change the line
>
> tqm <- do.call(rbind, tq) + 0.001
>
> in my example, that should do the trick.
>
> On Sat, May 14, 20
pdate. in the mean time, if you see that I'm
going straight into the ditch with my solution please do let me know.
regards
gawesh
On Sun, May 15, 2011 at 12:28 AM, gj wrote:
> Jim's suggestion did the trick:
> tqm <- do.call(rbind, tq) + 0.001
>
> head(x.new) userid f
Hi,
I'm a newbie to R. My knowledge of statistics is mostly self-taught. My
problem is how to measure the effect of users in groups. I can calculate a
particular attribute for a user in a group. But my hypothesis is that the
user's attribute is not independent of each other and that the user's
att
Hi Petr,
It's not an equation. It's my mistake; the * are meant to be field
separators for the example data. I should have just use blank spaces as
follows:
users Group1 Group2 Group3
u110 5N/A
u2 6 N/A 4
u3 5 2
Thanks Petr. I will try it on the real data.
But that will only show that the groups are different or not.
Is there any way I can test if the users are different when they are in
different groups?
Regards
Gawesh
On Mon, Oct 10, 2011 at 11:17 AM, Petr PIKAL wrote:
> >
> > Hi Petr,
> >
> > It's
re correct that interactions may be important in this
>> problem. I am only trying to help him frame the problem using an analogy.
>>
>>
>> ** **
>>
>> Anupam.
>>
>> *From:* Bert Gunter [mailto:gunter.ber...@gene.com]
>> *Sent:* Monday, Octo
Hi,
I want to do a visualisation of a matrix plot made up of several plots of
correlation matrices (using corrplot()). My data is in csv format. Here's an
example:
id,category,attribute1,attribute2,attribute3,attribute4
661,SCHS,43.2,0,56.5,1
12202,SCHS,161.7,5.7,155,16
1182,SCHS,21.4,0,29,0
1356
Hi,
Newbie here. I read the R for Beginners but i still don't get this.
I have the following data (this is just an example) in a CSV file:
courseid numstudents
101 209
141 13
246 140
263 8
321 10
361
erval scale of measurement. Could you clarify your intent?
>
> Huh? gawesh asked for ecdf on numstrudents (not courseid) ... pretty
> clearly a numeric value for which an ECDF should make sense.
>
> --
> David.
>
> --
>>
>> Dennis
>>
>> On Sun, Oct
something about R every day.
Regards
Gawesh
On Mon, Oct 17, 2011 at 2:11 AM, Sarah Goslee wrote:
> Hi,
>
> On Sun, Oct 16, 2011 at 8:48 PM, gj wrote:
>> David is right. I am looking for the ecfd for fs$numstudents. The
>> other column is just an id.
>>
>
Hi,
I have the following data about courses (504) in a university, two
attributes about the proportion of resources used (#resources_used /
#resources_available), namely the average and the standard deviation.
Thus I have:
[1] n=504 rows
[2] 1 id column and 2 attributes
Here's a sample of the data
Hey Antje & list,
Antje wrote:
> I'm very glad to use the R-help mailing list for R-related question
but
> more and more often I face general statistical problems. Does anyone
know
> by chance a community (mailinglist, forum, ...) where I can ask these
kind
> of questions?
I myself have rece
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