Hi friends,
I have data like this
Group
Employee size WOE Employee size2 Weight of Evidence 1081680995 0
0.12875537 0.128755 -0.30761 1007079896 1 0.48380133 -0.46544 -0.70464
1000507407 2 0.26029825 -0.46544 0.070221 1006400720 3 0.12875537 0.128755
0.151385 1006916029 4 0.12875537 -0.05955
Good Morning All,
I have working on a data set where I am finding mean and median for weight
variable on a daily basis.
The code:
aggr<-aggregate(retail$weight,list(retail$ship.date),mean)
This is giving me an accurate result however with 4 decimal places for the
mean weight. In order to restric
A CSV with multiple data frames would not conform to the standard definition of
a CSV file.
The XLConnect package can be used to generate Excel workbooks. There are other
packages also, but they are mostly either too simplified to allow filling
multiple sheets or too finicky for my taste. That
Hello,
Does anyone have some insight on how to; or where I can find better
information on how to, export multiple data.frames of different dimensions to
the same .csv or excel file?
-Kevin
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and
The hash package implements hashmaps which must be cleared prior to
removal to free memory, e.g.:
> x <- hash(some_long_list_of_keys_and_values_here)
> clear(x)
> rm(x)
I first assumed this held for re-assignment, too... e.g. one should:
> x <- hash(some_long_list_of_keys_and_values_here)
> clea
Thank you, Duncan! Your suggestion worked!
Greg
On Tue, Jun 16, 2015 at 12:20 PM, Duncan Murdoch
wrote:
> On 16/06/2015 10:34 AM, Greg Hather wrote:
> > Hi Duncan,
> >
> > I checked the global environment, and it was empty, so I think that
> > rules out the second possibility. I posted a tarb
Yes, indeed. Thanks, David.
But if you check, tapply, aggregate(), by(), etc. are all basically
wrappers to lapply() .So it's all a question of what syntax one feels most
comfortable with. However note that data.table, plyR stuff and perhaps
others are different in that they re-implement the under
Thank you Jim and Bob. This is really big help for me.
Jim, this is your second time to help me out.
Best
Alemu
On Tue, Jun 16, 2015 at 1:50 PM, boB Rudis wrote:
> This look similar to snow data I used last year:
> https://github.com/hrbrmstr/snowfirst/blob/master/R/snowfirst.R
>
> All the da
On Jun 16, 2015, at 11:18 AM, Clint Bowman wrote:
> Thanks, Dimitri. Burt is the real wizard here--I'll bet he can conjure up an
> elegant solution.
This would be base method:
> by( md[-4]==5, md[4], colSums)
device: 1
a b c
1 2 0
-
devic
Not in base, but in stats:
> aggregate(md[,-4]==5, list(device=md$device), sum, na.rm=TRUE)
device a b c
1 1 1 2 0
2 2 0 1 0
3 3 1 0 2
-
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-Origin
... my bad! -- I filed to read carefully.
A base syntax version is:
dat <- data.frame (a=sample(1:5,10,rep=TRUE),
b=sample(3:7,10,rep=TRUE),
g = sample(7:9,10,rep=TRUE))
dev <- sample(1:3,10,rep=TRUE)
sapply(dat,function(x)
tapply(x,dev,function(x)sum(x==
Hi all, I'm building a new package for DDE connections on R. It's called
rdde and lives in https://bitbucket.org/juancentro/rdde.
It's in alpha stage, but operational. It has a very simple vignette which
explains the main reason you should try rdde vs tcltk2 (the only other
option available) : perf
Hello,
I am trying to run a mixed logit model (panel form) with the mlogit package.
I am running into the following error: "Error in random.nb[, sel, drop = F]
: subscript out of bounds".
I have searched the R Help forum (and online) and see no instances of this
error. Below is the coding that I
Thank you guys - it's a great learning: 'summarise_each' and 'funs'
On Tue, Jun 16, 2015 at 3:47 PM, Hadley Wickham wrote:
> On Tue, Jun 16, 2015 at 12:24 PM, Dimitri Liakhovitski
> wrote:
>> Hello!
>>
>> I have a data frame:
>>
>> md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c = c(1
This look similar to snow data I used last year:
https://github.com/hrbrmstr/snowfirst/blob/master/R/snowfirst.R
All the data worked pretty well.
On Tue, Jun 16, 2015 at 3:21 PM, jim holtman wrote:
> Here is an example of reading in the data. After that it is a data frame
> and should be able t
On Tue, Jun 16, 2015 at 12:24 PM, Dimitri Liakhovitski
wrote:
> Hello!
>
> I have a data frame:
>
> md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c = c(1,3,4,3,5,5),
> device = c(1,1,2,2,3,3))
> myvars = c("a", "b", "c")
> md[2,3] <- NA
> md[4,1] <- NA
> md
>
> I want to count num
Here is an example of reading in the data. After that it is a data frame
and should be able to process it with dplyr/data.table without much trouble:
> x <- readLines("
http://www1.ncdc.noaa.gov/pub/data/snowmonitoring/fema/06-2015-dlysndpth.txt
")
> writeLines(x, '/temp/snow.txt') # save for te
Dear all,
Do you know if there is any R package or function we can use to analyze
polysomnographic data?
For example, something that can import an EDF file (or in a different
format) and can give some properties of the polysomnographic records like
periods of different sleep phases, etc.
I looke
Thank you, Clint.
That's the thing: it's relatively easy to do it in base, but the
resulting code is not THAT simple.
I thought dplyr would make it easy...
On Tue, Jun 16, 2015 at 2:06 PM, Clint Bowman wrote:
> May want to add headers but the following provides the device number with
> each set f
Thanks, Dimitri. Burt is the real wizard here--I'll bet he can conjure up
an elegant solution.
For me, just reaching a desired endpoint is enough.
Clint
Clint BowmanINTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
Departm
May want to add headers but the following provides the device number with
each set fo sums:
for (dev in (unique(md$device)))
{cat(colSums(subset(md,md$device==dev)==5,na.rm=T),dev,"\n")}
Clint BowmanINTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET:
Except, of course, Bert, that you forgot that it had to be done by
device. Your solution ignores the device.
md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c = c(1,3,4,3,5,5),
device = c(1,1,2,2,3,3))
myvars = c("a", "b", "c")
md[2,3] <- NA
md[4,1] <- NA
md
vapply(md[myvars], funct
Thank you, Bert.
I'll be honest - I am just learning dplyr and was wondering if one
could do it in dplyr.
But of course your solution is perfect...
On Tue, Jun 16, 2015 at 1:50 PM, Bert Gunter wrote:
> Well, dplyr seems a bit of overkill as it's so simple with plain old
> vapply() in base R :
>
>
Well, dplyr seems a bit of overkill as it's so simple with plain old
vapply() in base R :
> dat <- data.frame (a=sample(1:5,10,rep=TRUE),
+b=sample(3:7,10,rep=TRUE),
+g = sample(7:9,10,rep=TRUE))
> vapply(dat,function(x)sum(x==5,na.rm=TRUE),1L)
a b g
5 4
It would help if I could see beyond my allergy meds.
A start could be:
colSums(subset(md,md$device==1)==5,na.rm=T)
colSums(subset(md,md$device==2)==5,na.rm=T)
colSums(subset(md,md$device==3)==5,na.rm=T)
Clint BowmanINTERNET: cl...@ecy.wa.gov
Air Quality Modeler
No problem at all, Clint.
I was just trying to figure out of dplyr can do it.
On Tue, Jun 16, 2015 at 1:40 PM, Clint Bowman wrote:
> Any problem with
>
> colSums(md==5, na.rm=T)
>
> Clint BowmanINTERNET: cl...@ecy.wa.gov
> Air Quality Modeler INTERNET:
Any problem with
colSums(md==5, na.rm=T)
Clint BowmanINTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
Department of Ecology VOICE: (360) 407-6815
PO Box 47600FAX:(360) 407-7
Hello!
I have a data frame:
md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c = c(1,3,4,3,5,5),
device = c(1,1,2,2,3,3))
myvars = c("a", "b", "c")
md[2,3] <- NA
md[4,1] <- NA
md
I want to count number of 5s in each column - by device. I can do it like this:
library(dplyr)
group_b
Humphrey -
Any "correct" method requires you to specify _uniquely_ what you are looking
for. If the bookmark keyword is necessary and unique, it appears you have a
working solution. Or what else where you trying to accomplish?
Cheers,
Boris
On Jun 16, 2015, at 9:01 AM, Humphrey Zhao wrote:
On 16/06/2015 1:27 PM, Uwe Ligges wrote:
>
>
> On 16.06.2015 16:33, Axel Urbiz wrote:
>> Thanks again Uwe. I haven't renamed the file, only in the text sent to
>> R-help. Here's the error again I'm getting. Sorry, this s a bit
>> frustrating...
>
> No idea. Perhaps the down load failed? Can you
On 16.06.2015 16:33, Axel Urbiz wrote:
Thanks again Uwe. I haven't renamed the file, only in the text sent to
R-help. Here's the error again I'm getting. Sorry, this s a bit
frustrating...
No idea. Perhaps the down load failed? Can you open the file using some
zip software and extract the DE
On 16/06/2015 10:34 AM, Greg Hather wrote:
> Hi Duncan,
>
> I checked the global environment, and it was empty, so I think that
> rules out the second possibility. I posted a tarball at
>
> https://drive.google.com/file/d/0B8hBX90jtuLcaGtOUktqV2V4UUU/view?usp=sharing
>
> Thank you for your help
Dear All,
I was going to read daily snow data for each state and station/city from
the following link. I was not able to separate a given state's data from
the rest of the contents of the file, read the data to a data frame and
save it to file.
http://www1.ncdc.noaa.gov/pub/data/snowmonitoring/f
Dear all,
Thanks very much for your help! I will keep your suggestions in mind
and will get back to you if I get stuck!
On Tue, Jun 16, 2015 at 1:28 PM, Roger Bivand wrote:
> Boris Steipe utoronto.ca> writes:
>
>>
>> Your workflow in principle is:
>>
>> - read the image into an object for whi
Dear Sir/Madam:
Thank you for your attention to my question. I have downloaded the source code
of some web pages by RCurl, and I am trying to extract the URL from them. In
these web pages, there are many nodes contains the same URL, such like the
followings:
http://cos.name/2015/05/the-data-wi
Hello, I`m trying to use dsm package, *(library(Distance); library(dsm)*) ,
following Miller`s Appendix (
http://onlinelibrary.wiley.com/store/10./2041-210X.12105/asset/supinfo/mee312105-sup-0001-AppendixS1.pdf?v=1&s=ced953b57365e5eb5753f0ad76dcc02c26918736
).
I work with three dataframes, wh
An aside...
Just wanted to point out that:
fun <- function(x)log(x)
can be more simply replaced by:
fun <- log
Functions in R a full first class objects and can be treated as such. In
your example, this is still silly of course, but becomes relevant in
function calls where you can do things li
Wrong list! This is about R. Post on a statistics list like
stats.stackexchange.com for statistics questions.
Cheers,
Bert
Bert Gunter
"Data is not information. Information is not knowledge. And knowledge is
certainly not wisdom."
-- Clifford Stoll
On Mon, Jun 15, 2015 at 3:55 PM, bruno cid
Thanks again Uwe. I haven't renamed the file, only in the text sent to
R-help. Here's the error again I'm getting. Sorry, this s a bit
frustrating...
Thanks,
Axel
Error in read.dcf(file.path(pkgname, "DESCRIPTION"), c("Package", "Type"))
:
cannot open the connection
In addition: Warning messag
On 16.06.2015 15:16, Axel Urbiz wrote:
Thanks Uwe. Actually, the problem persists in R-3.2.1.
If it helps, the .zip file is here:
http://win-builder.r-project.org/yC8eUu09w3Ui/
Works for me, but your error message is:
"cannot open compressed file 'mypackage/DESCRIPTION'"
which suggests
Hi Duncan,
I checked the global environment, and it was empty, so I think that rules
out the second possibility. I posted a tarball at
https://drive.google.com/file/d/0B8hBX90jtuLcaGtOUktqV2V4UUU/view?usp=sharing
Thank you for your help!
Greg
[[alternative HTML version deleted]]
Thanks Uwe. Actually, the problem persists in R-3.2.1.
If it helps, the .zip file is here:
http://win-builder.r-project.org/yC8eUu09w3Ui/
Thank you,
Axel.
On Mon, Jun 15, 2015 at 5:41 PM, Uwe Ligges wrote:
>
>
> On 15.06.2015 22:32, Axel Urbiz wrote:
>
>> Hello,
>>
>> I've built a windows b
Boris Steipe utoronto.ca> writes:
>
> Your workflow in principle is:
>
> - read the image into an object for which you can obtain values-per-pixel
in a 2D structure;
> - read the shapefile and convert into a polygon;
> - determine the bounding box of the polygon;
> - use the inout() function of
On 15/06/2015 8:32 PM, Greg Hather wrote:
> Hello R users,
>
> I encountered a strange problem while writing a package that uses the
> nlme function. First, I wrote some code that uses the nlme function,
> and it ran without errors. However, when I tried to put the code into
> a package, the nlm
Hi
actually output from dput is the most user friendly way of supplying data.
try just copy this part below
-
temp <- structure(list(dusik = c(1814L, 2844L, 3121L, 3286L, 3515L, 2478L,
1891L), kyslik = c(5224L, 8632L, 9214L, 9765L, 10428L, 7403L,
5469L), co2 = c(20188L, 32118L, 35299L, 3678
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