Thanks Mr. Turner, This puzzles me. Why do we come out with different axis
labels with the same command? Is this because of my R version or my computer?
Regards,Christine
Rolf Turner 於 2015年08月18日 (週二) 2:02 PM 寫道﹕
See inline below.
On 18/08/15 16:15, Christine Lee via R-help wr
See inline below.
On 18/08/15 16:15, Christine Lee via R-help wrote:
To whom it may concern,
I have tried to plot some numbers against time with the time on the X-axis
shown as "Jan", "Feb", etc.
I used the following commands:
Raw<-structure(list(Date = structure(c(6L, 7L, 2L, 4L, 12L, 9L, 7L
This is completely off-topic on R-help, so unless someone feels like
corresponding off-list (unlikely) your attempt to derail the list (from the
topic of R) is unwelcome regardless of the readers' qualifications.
There are forums where statistical experiment design is on topic (e.g.
stats.stack
To whom it may concern,
I have tried to plot some numbers against time with the time on the X-axis
shown as "Jan", "Feb", etc.
I used the following commands:
Raw<-structure(list(Date = structure(c(6L, 7L, 2L, 4L, 12L, 9L, 7L,
2L, 4L, 12L), .Label = c("1/10", "1/11", "11/11", "12/11", "13/10",
Thank you David for your answer.
Some follow-up questions:
- So, do you think that try to estimate the life expectancy would be risky
and probably not justifiable? Is there some sort of 'confidence' that the
model could give me for a prediction?
- type=response - I found it here:
https://stat.e
Hi Everyone,
I have an experimental design that I'm confused about what model/approach I
should use to do the data analysis, and I would like to ask you for help as
there are many excellent statisticians and scientists in this group that
could help me to solve this problem.
The design is like thi
Ooops. I meant to drop that other message but hit the send icon instead.
On Aug 17, 2015, at 3:39 PM, Bert Gunter wrote:
> David:
>
> I may have misunderstood you here, specifically:
>
> "As such I would ask if you really wanted to use a parametric survival
> model in the first place? "
>
>
On Aug 17, 2015, at 1:51 PM, David Winsemius wrote:
>
> On Aug 17, 2015, at 12:10 PM, survivalUser wrote:
>
>> Dear All,
>>
>> I would like to build a model, based on survival analysis on some data, that
>> is able to predict the /*expected time until death*/ for a new data
>> instance.
>
> A
On Aug 17, 2015, at 3:39 PM, Bert Gunter wrote:
> David:
>
> I may have misunderstood you here, specifically:
>
> "As such I would ask if you really wanted to use a parametric survival
> model in the first place? "
>
> The K-M curve is , of course, a **non-parametric** fit, and that is
> why t
David:
I may have misunderstood you here, specifically:
"As such I would ask if you really wanted to use a parametric survival
model in the first place? "
The K-M curve is , of course, a **non-parametric** fit, and that is
why there can be no mean survival time unless the last point is a
death.
On 18/08/15 07:07, mcfer...@mskcc.org wrote:
HI there I'm very new to R, as in 3 days new, so apologies if I'm not
framing my question correctly I am working through the Johns' Hopkins
coursera course, I'm following, just about!
I am trying to have R read multiple .csv files together as one
da
On Aug 17, 2015, at 12:10 PM, survivalUser wrote:
> Dear All,
>
> I would like to build a model, based on survival analysis on some data, that
> is able to predict the /*expected time until death*/ for a new data
> instance.
Are you sure you want to use life expectancy as the outcome? In order
Please refrain from cross-posting. The same request was sent to the author
of hurdle(), R-help, and StackOverflow (where it was already answered).
Also, do provide self-contained and reproducible code as would be
appropriate in any of the three cases.
On Mon, 17 Aug 2015, Matt Dicken wrote:
Dear Achim,
Apologies for the cross posting and confusion. I really appreciate the help
All the best
Matt
-Original Message-
From: Achim Zeileis [mailto:achim.zeil...@r-project.org]
Sent: 17 August, 2015 10:06 PM
To: Matt Dicken
Cc: r-help@r-project.org
Subject: Re: [R] hurdle control
Hi,
I have a script called test.R which contains:
browseURL("http://r-project.org";)
It works fine when I run it interactively or with "R -f test.R" when logged in
as the user 'biocbuild'.
However, if I set up a Scheduled Task to run the script as that same user (with
the XML definition below
On Aug 17, 2015, at 9:48 AM, Sam Steingold wrote:
> Hi,
> I am confused by the binom.power - I cannot figure out how to use it.
> E.g., I have "normal success rate" 0.1% (i.e., p=0.001).
> How many successes do I need to observe per n=c(100,1000,1,10)
> trials to reject the normalcy hypot
Dear All,
I would like to build a model, based on survival analysis on some data, that
is able to predict the /*expected time until death*/ for a new data
instance.
Data
For each individual in the population I have the, for each unit of time, the
status information and several continuous covariat
HI there
I'm very new to R, as in 3 days new, so apologies if I'm not framing my
question correctly
I am working through the Johns' Hopkins coursera course, I'm following, just
about!
I am trying to have R read multiple .csv files together as one dataframe - I
can't figure how to ask the progra
> * Bert Gunter [2015-08-17 10:27:58 -0700]:
>
>> qbinom(.025,1000,.001,lower=FALSE)
I don't think this is what I need.
I am looking for an inverse of binom.confint.
Sorry that my question was not clear.
--
Sam Steingold (http://sds.podval.org/) on darwin Ns 10.3.1348
http://www.childpsy.net/
Wrong list. This list is about R, not about statistics/statistical
learning. Post to a stats list like stats.stackexchange.com for
methods issues. Once you figure out what you want to do, R almost
certainly can do it -- search to find out what fuctions/packages to
use.
Cheers,
Bert
Bert Gunter
"D
I was hoping someone may be able to help with the following.
I fit the model below using the pscl package. I am modelling catch data (about
17,000 entry points) so lots of zero's
fit.hurdle.bin = hurdle(Catch ~ Beach + Region + Year+
Decade + Month + Season + Whale+ Sex +
Follow the link
download Frequent Subgraph Mining related R package from table and install
it to R
http://www.csc.ncsu.edu/faculty/samatova/practical-graph-mining-with-R/PracticalGraphMiningWithR.html
--
View this message in context:
http://r.789695.n4.nabble.com/SubgraphMining-tp4692121p47
Hi,
I have a training dataset which has two columns which has around 70 values.
1. "PNRNo" whose values like UT768G, CXKA, 4IOI59, 4BV7TW...(typical PNR
number patterns)
2. I have created one more factor variable mentioning (IsPNR) - so all
the values are 1 (true)
My first objecti
> try tu put line
>
> setInternet2(TRUE)
>
> into your Rprofile.site file (located in etc directory of R installation) and
> restart
> R.
You may well need to specify the utils library, as follows, to make sure the
setInternet2 function is found at run time:
utils::setInternet2()
S Elliso
Hi Aureus,
I think you have cut and pasted the text in the console window when
you say "saving to text". One way to get the entire output of your
test is:
sink('"simper_test.txt")
# run your test code here
sink()
The output will be in the file "simper_test.txt"
Jim
On Sun, Aug 16, 2015 at 7:10
I have to estimate the volatility of FTSE/MIB index with a GARCH model from
2012-06-21 to 2015-04-30, in every day. I use garchFit function, but I
don't understand the meaning of se.coef output. Does this function estimate
the volatility in every day of the time series (in input)? So does it
estima
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