On 09-09-2014, at 08:25, PO SU wrote:
>
>
> I don't understand what's your meaning, do you mean that i should do some
> file processing,(like writing a script) ,so that i could add # in any line i
> wanted.
> I think it is not convenient.
> And, it does seems that there is no way to multi
No I don't mean this. Did you at least try the small example I provided?
On Tue, Sep 9, 2014 at 3:25 PM, PO SU wrote:
>
>
> I don't understand what's your meaning, do you mean that i should do some
> file processing,(like writing a script) ,so that i could add # in any line i
> wanted.
> I thi
On Mon, 8 Sep 2014, Iuri Gavronski wrote:
Hi,
I am trying to test for heteroskedascity in an OLS model, but I am not
able to run the white.test() if the model has dummy variables built
from factors. Any suggestions?
The White test is equivalent to the Breusch-Pagan test with an auxiliary
mod
I have a data frame with some extreme values which I wish to identify
and repeat an analysis without these extreme values. How could I
identify several columns with values which are 5 times higher than the
99th percentile?
Sample data is pasted below.
> dput(df)
structure(list(ad1 = c(98, 6.9, 8
Hello,
Try the following.
out <- lapply(df, function(x){
qq <- quantile(x, probs = 0.99)
which(x > 5*qq)
})
out
The list 'out' contains indices to the outliers. You can now have those
outliers as follows
df[out[[1]], 1] # first column
Etc.
Hope this helps,
Rui Barradas
On 2014-09-08 15:47, William Dunlap wrote:
d <- data.frame(Choices=c("One","Two","One","Three"), X=1:4)
i <- 1 # possible output of menu(unique(d$Choices))
d[ d$Choices[i] == d$Choices, ]
# Choices X
#1 One 1
#3 One 3
testd <- data.frame(Choices=c("One","Two","One","Three"), X=1:4)
t
On 08/09/2014, 11:14 PM, Jeff Newmiller wrote:
> There are no multi line comment markers in R. However, since you are always
> referring to RStudio you might want to look into roxygen, since their editor
> supports that tool.
RStudio has a command to comment a block: it's in the Code menu. (On
> "PS" == PO SU
> on Tue, 9 Sep 2014 10:49:32 +0800 writes:
PS> Dear expeRts, I find it's terrible when i want to
PS> comment multi paragraph (e.g. a 30 lines function) , i
PS> have to comment each line with #, is there any good way
PS> to do that ? I invest
> i don't know how to report a bug to Rstudio
Have you tried clicking on 'Help', then on 'RStudio Support' in the
menu that pops up?
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Mon, Sep 8, 2014 at 7:07 PM, PO SU wrote:
>
>
> OK, i get it, i should set the editor argument , i don't know ho
What I do in cases like that is wrap the code in a FALSE statement so it won't
get executed: its easy to add and remove as needed.
If (FALSE) {
...Code to exclude
}
***
This message and any attachments are for the named person'
Dear Davis, Dennis and John,
I am thankyou that you replied. I'll take care of it in future.
Eliza
> Date: Mon, 8 Sep 2014 17:36:30 -0700
> Subject: Re: [R] splitting data
> From: djmu...@gmail.com
> To: eliza_bo...@hotmail.com
>
> Hi Eliza:
>
> Here are a few potential solutions. Given that y
If the x and y values are regularly spaced, you could use contour() or persp()
to plot the densities. If they are not, you can use density(), loess(), gam(),
kriging another function to estimate a smooth surface for the values and then
estimate the values over a regular grid and then plot with c
In R-studio, you can also select whatever you want to comment out, and
press CTRL-SHIFT-C to comment the selection in one go.
To uncomment it all in one go again, you can select it again and press
CTRL-SHIFT-C again.
Gjalt-Jorn
On 2014-09-09 5:51, Pascal Oettli wrote:
A workaround is to escap
Dear Experts
I'm quite new to the world of R; so maybe my question is kind of
beginners...
I am right now trying to analyse questionnaire data (CAWI) for producing a
image/positioning map of the competitors of my company; when programming
the CAWI, a split design was needed; every respondent had
Hi,
I am interested in R programming in the Big Data space. Are there any
books that would be a good starting point for this career path?
Predictive analysis is also an area I am interested in.
Thank you in advance for any information and help.
Subba Rao
__
Hi - Need help to do product affinity analysis for a Retailer. Products are
categorized into categories such as say Baby Care, Male Hair Care, Female Hair
Care etc. I can do affinity analysis at the product level using Apriori
algorithm. I get the support, confidence and lift and using this I g
Please suggest any efficient way/code of splitting text into sentences in R.
Currently, I'm using openNLP library for the same, it is taking several hours
to process 8,000+ records of twitter post/comments.
Below is my R code for same:
options(java.parameters = "-Xmx4g")
library("NLP"); library
One way I know to do this is (in bash) to use a dummy variable and make the
comment a multiline character string:
dummy <- c("
This is my multiline
comment or code block.
")
or if printing does not disturb you, just use:
"
...
"
Use ' if you have " in the block.
Other workarounds are here, whic
Hi
I am a New user of R.
Please, how to import data from Excel to R?
Thanks,
Best regards,
Fredj,
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R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting
Read the manual.
http://cran.r-project.org/doc/manuals/r-release/R-data.html#Reading-Excel-spreadsheets
Best,
Ista
On Sep 9, 2014 6:39 PM, "JAWADI Fredj" wrote:
> Hi
> I am a New user of R.
> Please, how to import data from Excel to R?
> Thanks,
> Best regards,
> Fredj,
>
>
> [[alternat
Tena koe Fredj
There are lots of ways, depending on your precise task and preference. Have
you Googled 'Import data from Excel to R'? That will bring up lots of relevant
hits, including the data import/export manual that ships with R.
FWIW, I use RODBC and have written a simple wrapper to do
On Tue, Sep 9, 2014 at 4:48 PM, JAWADI Fredj wrote:
> Hi
> I am a New user of R.
> Please, how to import data from Excel to R?
> Thanks,
> Best regards,
> Fredj,
>
There are some ways listed here:
https://web.archive.org/web/20131109195709/http://rwiki.sciviews.org/doku.php?id=tips:data-io:ms_win
On 07 Sep 2014, at 00:31 , David Winsemius wrote:
> The goal:
> to create a function modeled after `subset` (notorious for its non-standard
> evaluation) that will take a series of logical tests as unqiuoted expressions
> to be evaluated in the framework of a dataframe environment and retur
On Sep 9, 2014, at 4:07 PM, peter dalgaard wrote:
On 07 Sep 2014, at 00:31 , David Winsemius
wrote:
The goal:
to create a function modeled after `subset` (notorious for its non-
standard evaluation) that will take a series of logical tests as
unquoted expressions to be evaluated in th
Hi,
I am merging large data frames and it would be great if I can run merge in
multi-threading/parallel mode. Can someone point me to the right way to do
it?
Best,
Yuan
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R-help@r-project.org mailing list
h
Hi Yuan,
You can start reading the following site:
http://cran.r-project.org/web/views/HighPerformanceComputing.html
Regards,
Pascal
On Wed, Sep 10, 2014 at 2:56 PM, Yuan Luo wrote:
> Hi,
> I am merging large data frames and it would be great if I can run merge in
> multi-threading/parallel mod
Tks for all your help, finally i choose the way in Rstudio ctrl+shift+C, and
do twice to cancel those comments. It's enough for me now. BTW, I also like the
way:
if(FALSE) {} :)
--
PO SU
mail: desolato...@163.com
Majored in Statistics from SJTU
At 2014-09-10 02:15:49, "Gjalt-Jorn Pe
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