> On 20-12-2014, at 05:45, Kristi Glover wrote:
>
> Hi R User, Would you suggest me on how I can build a pivot table using two
> variables? I want to put "text" in the table instead of value. I have
> attached an example data and the type of table (FinalTable) I was looking
> for. I am looki
> x <- dat
> x$time <- as.factor(as.Date(x$time, format="%Y-%B%d"))
> tmp <- split(x, x$tag)
> tmp1 <- do.call(rbind, lapply(tmp, function(x){
+ tb <- table(x$time)
+ idx <- which(tb>0)
+ tb1 <- replace(tb, idx, as.character(x$states))
+ }))
> print(tmp1, quote=FALSE)
2010-05-27 2011-06-27 20
Hi R User, Would you suggest me on how I can build a pivot table using two
variables? I want to put "text" in the table instead of value. I have attached
an example data and the type of table (FinalTable) I was looking for. I am
looking for your suggestions. ThanksKG=dat<-structure(list(tag
On 19/12/2014 17:57, Prof Brian Ripley wrote:
On 19/12/2014 15:10, Pfaff, Bernhard Dr. wrote:
Hello Diogo,
the package is hosted on Omegahat:
http://www.omegahat.org/XMLRPC/
And it installs from the sources on Windows as it has no compiled code.
Something like
options(pkgType = 'source'
The "over" function in the sp package should be able to do this for you.
One of the examples found in ?over says:
# return the number of points in each polygon:
sapply(over(sr, geometry(meuse), returnList = TRUE), length)
In that example, meuse contains the points and sr contains polygons,
On 19/12/2014 15:10, Pfaff, Bernhard Dr. wrote:
Hello Diogo,
the package is hosted on Omegahat:
http://www.omegahat.org/XMLRPC/
And it installs from the sources on Windows as it has no compiled code.
Something like
options(pkgType = 'source')
setRepositories() # choose omegahat
ins
Hi,
It looks like you are replying to some phantom. Is your correspondent actully
on R-help?
John Kane
Kingston ON Canada
> -Original Message-
> From: mtr...@buffalo.edu
> Sent: Fri, 19 Dec 2014 08:08:29 -0800 (PST)
> To: r-help@r-project.org
> Subject: Re: [R] Calculating mean, median,
On Fri, Dec 19, 2014 at 8:48 AM, John Kane wrote:
> Hi,
> It looks like you are replying to some phantom. Is your correspondent actully
> on R-help?
This most likely happens because OP posted the message via Nabble
[http://r.789695.n4.nabble.com/Calculating-mean-median-minimum-and-maximum-td4700
Duncan,
Congratulations to you and all the founders and contributors — very much
deserved; thank you!!
Tom
On Fri, Dec 19, 2014 at 9:24 AM, Duncan Murdoch
wrote:
>
> This morning I was reading Jeff Leek's list of awesome things other people
> did in 2014 at http://simplystatistics.org/?p=3696 (
You can use the apply function which "applies" a function of your choice, and
MARGIN = 2 means you want to do it columnwise:
> apply(X = df, MARGIN=2, FUN = mean, na.rm = TRUE)
Latitude Longitude January February March April May
June
26.9380 -109.8125 159.8454 156.4489
That is the solution I had tried first (yes, it's nice!), but it doesn't
provide the other PViol.Type's that aren't necessarily in my dataset. That's
where my problem is. I'm closer to the cure, though, and think I've thought of
a solution as soon as I have time. I'll update everyone then. --
Dear Guillaume,
Please see comments interspersed below:
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of
> Guillaume Souchay
> Sent: Thursday, December 18, 2014 8:50 AM
> To: r-help@r-project.org
> Subject: [R] Fitting Structural Equation Model with s
This morning I was reading Jeff Leek's list of awesome things other
people did in 2014 at http://simplystatistics.org/?p=3696 (thanks to the
Revolution Analytics blog for the pointer). One of the items in his
list had a link to a list of awards for open source software in 2014:
http://www.inf
Nice but as this is R forum, is there an R package related to it ?
-Original Message-
From: "John McKown" [john.archie.mck...@gmail.com]
Date: 12/18/2014 01:38 PM
To: "r-help"
Subject: [R] Your pardon: An article possibly of interest to statisticians
I do hope this doesn't upset anyone.
Hello Diogo,
the package is hosted on Omegahat:
http://www.omegahat.org/XMLRPC/
Best wishes,
Bernhard
-Ursprüngliche Nachricht-
Von: R-help [mailto:r-help-boun...@r-project.org] Im Auftrag von Diogo André
Alagador
Gesendet: Freitag, 19. Dezember 2014 14:03
An: r-help@r-project.
Jacob Warren (RIT Student rit.edu> writes:
>
> Using lme4 how does one define a 2 factor factorial model with both factors
> being random?
>
> Specifically I am just trying to recreate the results from Montgomery's
> Design of Experiments book (7th edition), example 13.2. In this example
> ther
Very pretty.
I could have saved myself about 1/2 hour of mucking about if I had thought ot
"length".
John Kane
Kingston ON Canada
> -Original Message-
> From: sven.temp...@gmail.com
> Sent: Fri, 19 Dec 2014 10:13:55 +0100
> To: chl...@mail.usask.ca
> Subject: Re: [R] Make 2nd col of 2-
I am need to install rneos for R 3.1 under Windows 64bit.
However it depends on the package XMLRPC that is not available in
conventional repositories.
In the CRAN R 3.1 online readme
(http://cran.r-project.org/bin/windows/contrib/3.1/ReadMe) there is an
information regarding the installation
Three responses to your question
1. Missing values in R are denoted by "NA". When reading in your data you want to use
the "na.strings" option so that the internal form of the data has missing values properly
denoted.
2. If this is done, then coxme will notice the missings and remove them
Comment inline
On 19/12/2014 11:17, aoife doherty wrote:
Many thanks, I appreciate the response.
When I convert the missing values to NA and run the cox model as described
in previous post, the cox model seems to remove all of the rows with a
missing value (as the number of rows "n" in the cox
Yes, your basic reasoning is correct. In general, the observed variables
carry information about the variables with missing values, so (in some
way) the missing values can be replaced with estimates ("imputations")
and the standard regression method will then work as though the
replacements were th
Many thanks, I appreciate the response.
When I convert the missing values to NA and run the cox model as described
in previous post, the cox model seems to remove all of the rows with a
missing value (as the number of rows "n" in the cox output after I
completely remove any row with missing data
Hi Aoife,
I think that if you simply replace each "*" in the data file
with "NA", then it should work ("NA" is usually interpreted
as "missing" for those functions for which missingness is
relevant). How you subsequently deal with records which have
missing values is another question (or many quest
First recode the * in NA: death.dat$v3[death.dat$v1==*] <- NA
Include this in your model: na.rm=TRUE
Or you could create a new dataset: newdata <- na.omit(death.dat)
Shouro
On Fri, Dec 19, 2014 at 11:12 AM, aoife doherty
wrote:
>
> Hi all,
>
> I have a data set like this:
>
> Test.cox file
Hi all,
I have a data set like this:
Test.cox file:
V1V2 V3 Survival Event
ann 13 WTHomo 41
ben 20 *51
tom 40 Variant 61
where "*" in
Thank you very much for your reply. I really appreciate it. I apologize for
the HTML version, I have made modifications and replied to your
questions/comments below. Thanks again
tmp1 <- structure(list(FIPS = c(1001L, 1003L, 1005L), X2026.01.01.1 = c(
285.5533142,
285.5533142, 286.2481079), X
You are looking for the round_date(), floor_date() or ceiling_date() functions
from the lubridate package. Those functions can round timestamps to weeks.
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team
Another solution:
CaseID <- c("1015285", "1005317", "1012281", "1015285", "1015285", "1007183",
"1008833", "1015315", "1015322", "1015285")
Primary.Viol.Type <- c("AS.Age", "HS.Hours", "HS.Hours", "HS.Hours",
"RK.Records_CL",
"OT.Overtime", "OT.Overtime", "OT.Overtime", "V.Poster_Other",
"V.Poster
df is the name of a function in base R. You have not provided a definition
of sample data resembling your real data. In this case I suspect that the
source of your problems is that df may not be what you think it is.
Learning to use the "str" function may help you.
If df is a data frame contai
Thank you for attempting to convey your problem clearly using example
code... but your use of HTML email has very nearly undone all your
efforts. Also, use of "dput" to make an R-readable block of data is more
reliable than read.table to get the data into our R sessions quickly.
First questio
HTML mutilated your email. Please post in plain text.
Although you are playing with some tricky stuff, you seem to have
difficulty understanding the difference between a symbol and the value the
symbol represents. Re-reading section 6.1 of the Introduction to R that
comes with the software see
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