Exactly. Used to work for me, but not anymore. I tried restarting session,
installing the most recent package of 'hash' etc.
Here is my sessionInfo():
> sessionInfo()
R version 3.1.2 (2014-10-31)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US
> I didn't dispute whether '%>%' may be useful -- I just pointed out that it
> is slow. However, it is only part of the problem: 'filter()' and
> 'select()', although aesthetically pleasing, also seem to be slow:
>
>> all.states <- data.frame(state.x77, Name = rownames(state.x77))
>>
>> f1 <- func
Works for me :
> library(hash)
hash-2.2.6 provided by Decision Patterns
> hx <- hash( c('a','b','c'), 1:3 )
> class(hx)
[1] "hash"
attr(,"package")
[1] "hash"
> hx$a
[1] 1
> keys(hx)
[1] "a" "b" "c"
Maybe restart your session? Clear your workspace? Upgrade?
B.
On Mar 27, 2015, at 7:39 PM,
Dear Rodolfo,
It's apparently the case that at least one of the columns of the model
matrix for your model is perfectly collinear with others.
There's not nearly enough information here to figure out exactly what the
problem is, and the information that you provided certainly falls short of
allo
pardon me it was my function which is just a call to "readWorksheetFromFile"
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
On Fri, Mar 27, 2015 at 3:52 PM, Benjamin Baker wrote:
> Jim,
>
> I’m not seeing
Hi,
On Mar 27, 2015, at 12:06 PM, lychang wrote:
> Hi everyone,
>
> I'm trying to categorize by month in R. How can I do this if my dates are in
> date/month/year form?
>
I'm not sure about the date form you describe, but if you have the dates as
POSIXct you can extract the month as characte
Hi,
I was trying to use hash, but can't seem to get the keys from the hash.
According to the hash documentation ('hash' package pdf, the following
should work:
> hx <- hash( c('a','b','c'), 1:3 )
> class(hx)
[1] "hash"
attr(,"package")
[1] "hash"
> hx$a
[1] 1
> keys(hx)
Error in (function (classe
Jim,
I’m not seeing the command f.readXLSheet in the documentation, nor is it
executing in my code.
—
Sent from Mailbox
On Thursday, Mar 26, 2015 at 5:15 AM, jim holtman , wrote:
My suggestion is to use XLConnect to read the file:
> x <-
> "C:\\Users\\jh52822\\AppData\\Local\\
On 2015-03-26 07:48, Patrick Connolly wrote:
On Wed, 25-Mar-2015 at 03:14PM +0100, Henric Winell wrote:
...
|> Well... Opinions may perhaps differ, but apart from '%>%' being
|> butt-ugly it's also fairly slow:
Beauty, it is said, is in the eye of the beholder. I'm impressed by
the way usin
On 2015-03-27 09:19, Patrick Connolly wrote:
[...]
On Sun, 22-Mar-2015 at 08:06AM -0800, John Kane wrote:
|> Well, first off, you have no variable called "Name". You have lost
|> the state names as they are rownames in the matrix state.x77 and
|> not a variable.
If you did this:
all.states
On 2015-03-27 11:41, Stéphane Adamowicz wrote:
Well, it seems to work with me.
Y <- as.matrix(airquality)
head(Y, n=8)
Ozone Solar.R Wind Temp Month Day
[1,]41 190 7.4 67 5 1
[2,]36 118 8.0 72 5 2
[3,]12 149 12.6 74 5 3
[4,]18 313
Jim,
Thanks, XLConnect with proper syntax works great for both types of files.
—
Sent from Mailbox
On Thu, Mar 26, 2015 at 5:15 AM, jim holtman wrote:
> My suggestion is to use XLConnect to read the file:
>> x <-
> "C:\\Users\\jh52822\\AppData\\Local\\Temp\\Rtmp6nVgFC\\file385c632aba3.xls"
Thanks Richard,
This works, rather obvious now that i think of it!
=)
On 27/03/2015 4:30 pm, Richard M. Heiberger wrote:
just reverse what you did before.
newdata <- data
newdata[] <- NA
newdata[,!apply(is.na(data), 2, any)] <- myfunction(data_no_NA)
On Fri, Mar 27, 2015 at 1:13 AM, Jatin Kala
Anthony,
XLSX won’t read an XLS file. Additionally, the legacy Java that is required for
the xlsx package really effs up my computer. Have to reinstall my OS to fix it.
—
Sent from Mailbox
On Wed, Mar 25, 2015 at 3:51 PM, Anthony Damico
wrote:
> maybe
> library(xlsx)
> tf <- tempfile()
Hi everyone,
I'm trying to categorize by month in R. How can I do this if my dates are in
date/month/year form?
Thanks,
Lois
--
View this message in context:
http://r.789695.n4.nabble.com/Categorizing-by-month-tp4705173.html
Sent from the R help mailing list archive at Nabble.com.
__
Hello. I'm trying to use the function vif from package car in a lm. However
it returns the following error:
"Error in vif.default(lm(MDescores.sitescores ~ hidroperiodo + localizacao
+ : there are aliased coefficients in the model"
When I exclude any predictor from the model, it returns this warn
Suggest (strongly) that you move this question to r-sig-geo. Much more
appropriate there, and more people there are more familiar with this kind
of work. But ... I suspect you want gIntersection(), not gIntersects().
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-
On Mar 27, 2015, at 3:41 AM, Stéphane Adamowicz wrote:
> Well, it seems to work with me.
>
No one is doubting that it worked for you in this instance. What Peter D. was
criticizing was the construction :
complete.cases(t(Y))==T
... and it was on two bases that it is "wrong". The first is tha
Add the argument mode="wb" to your call to download.file(). On Windows
this means to use 'binary' format - do not change line endings.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Fri, Mar 27, 2015 at 7:25 AM, Giles Crane wrote:
>
> # download.file() Seems to put the xlsx file onto hard dri
# download.file() Seems to put the xlsx file onto hard drive.
>download.file("http://www.udel.edu/johnmack/data_library/zipcode_centroids.xlsx";,
> "zipcode_centroids.xlsx")
trying URL 'http://www.udel.edu/johnmack/data_library/zipcode_centroids.xlsx'
Content type
'application/vnd.openxmlformats
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Hello all,
I am attempting to automate an analysis that I developed with ArcInfo
using R and the gdal and geos packages (or any other) if possible.
Here is the basic process
I have a shape file (lines) that defines the limits of all of the
projects
>
>> example. Furthermore in my example no unwanted format occurred. You can
>
> Yes because data.frame was (luckily) numeric.
>
Luck has nothing to do with this. I Chose this example on purpose …
Stéphane
__
R-help@r-project.org mailing list -- To
Hi
> -Original Message-
> From: Stéphane Adamowicz [mailto:stephane.adamow...@avignon.inra.fr]
> Sent: Friday, March 27, 2015 1:26 PM
> To: PIKAL Petr
> Cc: peter dalgaard; r-help@r-project.org
> Subject: Re: [R] matrix manipulation question
>
>
> Le 27 mars 2015 à 12:34, PIKAL Petr a écr
Le 27 mars 2015 à 12:34, PIKAL Petr a écrit :
> Very, very, very bad solution.
>
> as.matrix can change silently your data to unwanted format,
> complete.cases()==T is silly as Peter already pointed out.
>
>
Perhaps, but it happens that in the original message, the question dealt with a
Very, very, very bad solution.
as.matrix can change silently your data to unwanted format, complete.cases()==T
is silly as Peter already pointed out.
I use
head(airquality[ ,colSums(is.na(airquality))==0])
Wind Temp Month Day
1 7.4 67 5 1
2 8.0 72 5 2
3 12.6 74 5 3
4
Well, it seems to work with me.
Y <- as.matrix(airquality)
head(Y, n=8)
Ozone Solar.R Wind Temp Month Day
[1,]41 190 7.4 67 5 1
[2,]36 118 8.0 72 5 2
[3,]12 149 12.6 74 5 3
[4,]18 313 11.5 62 5 4
[5,]NA NA 14.3 56
HI Dario,
Have you tried creating a larger PNG image and then shrinking the result
with an image manipulation program (e.g. GIMP)?
Jim
On Fri, Mar 27, 2015 at 4:00 PM, Dario Strbenac
wrote:
> Does anyone make Venn diagrams for publication using Vennerable ? I found
> that the font size is too
On 27 Mar 2015, at 09:58 , Stéphane Adamowicz
wrote:
> data_no_NA <- data[, complete.cases(t(data))==T]
Ouch! logical == TRUE is bad, logical == T is worse:
data[, complete.cases(t(data))]
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 200
Why not use complete.cases() ?
data_no_NA <- data[, complete.cases(t(data))==T]
Le 27 mars 2015 à 06:13, Jatin Kala a écrit :
> Hi,
> I've got a rather large matrix of about 800 rows and 60 columns.
> Each column is a time-series 800 long.
>
> Out of these 60 time series, some have mi
On Thu, 26-Mar-2015 at 04:58PM -0400, yoursurrogate...@gmail.com wrote:
[...]
|> I agree with you on the indexing approach. But even after using
|> within, I still get the same error. >
You leave us to guess just what you tried, but if you did this:
> all.states <- within(as.data.frame(state
30 matches
Mail list logo
