quot;{col}_{fn}"
)) %>%
select(starts_with(vars_num) | ends_with("mean")) %>%
rename_at(vars(!starts_with(vars_num)), list(~ str_replace(., "mean$",
"prop"))) %>%
all.equal(need)
On Friday, March 26, 2021, 1:08:58 p.m. EDT, Rui Barradas
wrot
Hello All,
Would like to be able to summarize across in dplyr using variable names and a
condition. Below is an example "have" data set followed by an example "need"
data set. After that, I've got a vector of numeric variable names. After that,
I've got the very humble beginnings of a dplyr-bas
Hello All,
Would like to keep a running total of what drugs cancer patients have taken and
what drugs have been dropped. Searched the Internet and found a way to
cumulatively paste a series of drug names. Am having trouble figuring out how
to make the paste conditional though.
Below is some s
Hi Gabor, Richard, and Thierry,
Thanks very much for your replies. Turns out I had already hit on Gabor's idea
of "factor out" in writing an initial draft of the code converting from SAS to
R. Below is the link Gabor sent describing this and other approaches.
https://stackoverflow.com/questio
Hello All,
Season's greetings!
Am trying to replicate some SAS code in R. The SAS code uses if-then-do code
blocks. I've been trying to do likewise in R as that seems to be the most
reliable way to get the same result.
Below is some toy data and some code that does work. There are some thing
tern <- "([^.?!]*(?=[^.?!]*\\bbreast\\b)(?=[^.?!]*\\b(metastatic|stage
> IV)\\b)(?=[\\s.?!])[^.?!]*[.?!])"
> regmatches(txt, gregexpr(pattern, txt, perl=TRUE, ignore.case=TRUE))[[1]]
[1] "Patient had stage IV breast cancer."
[2] " Metastatic and breast
quate?
Bert
On Jul 11, 2017 10:49 AM, "Paul Miller via R-help" wrote:
Hello All,
>
>I need some help figuring out how to extract combinations of target
>words/terms from cancer patient text medical records. I've provided some
>sample data and code below to illustr
Hello All,
I need some help figuring out how to extract combinations of target words/terms
from cancer patient text medical records. I've provided some sample data and
code below to illustrate what I'm trying to do. At the moment, I'm trying to
extract sentences that contain the word "breast" p
Hi Chris,
Thanks for your reply. Certainly no need to apologize for a delayed response.
Appreciate your taking the time to answer my question.
My concern was about the value of "16". My understanding is it is based on one
expert's opinion. I wondered if this is in keeping with whatever the sta
Hi Chris,
Thanks for pointing out the use of "View page source". Very helpful to know.
Do you happen to know anything about how to perform the analysis itself? I
haven't been able to find anything confirming that the approach described in my
original email (below) is correct.
Thanks,
Paul
Hi Dr. Therneau,
Thanks for your response. This is very helpful.
My historical control value is 16 weeks. I've been having some trouble though
determining how this value was obtained. Are you able to indicate how people
normally go about determining a value for the historical control? Or do you
Hello All,
I'm trying to figure out how to perform a survival analysis with an historical
control. I've spent some time looking online and in my boooks but haven't found
much showing how to do this. Was wondering if there is a R package that can do
it, or if there are resources somewhere that s
Hello All,
Am intested in using R to analyze censored cost data. Looks like I'd need to
estimate some means and associated variances. I've got a few papers describing
this. These talk about the use of re-weighted estimators (Lin), inverse
probability weighted estimators (Bang-Tsiatis), phase-ba
ning this is a
> re-education issue, and I can't much help with that.
Fortune nomination!
cheers,
Rolf
--- On Thu, 4/25/13, Terry Therneau wrote:
> From: Terry Therneau
> Subject: Re: Trouble Computing Type III SS in a Cox Regression
> To: "Paul Miller&qu
Therneau wrote:
> From: Terry Therneau
> Subject: Re: Trouble Computing Type III SS in a Cox Regression
> To: r-help@r-project.org, "Paul Miller"
> Received: Wednesday, April 24, 2013, 5:55 PM
> I should hope that there is trouble,
> since "type III" is an u
Hello All,
Am having some trouble computing Type III SS in a Cox Regression using either
drop1 or Anova from the car package. Am hoping that people will take a look to
see if they can tell what's going on.
Here is my R code:
cox3grp <- subset(survData,
Treatment %in% c("DC", "DA", "DO"),
c("PT
uchet-Valat
Subject: Re: [R] odfWeave: Some questions about potential formatting options
To: "Paul Miller"
Cc: "Max Kuhn" , r-help@r-project.org
Received: Wednesday, April 17, 2013, 11:17 AM
Le mardi 16 avril 2013 à 10:15 -0700, Paul Miller a écrit :
> Hi Milan and Max,
&
Hi Milan and Max,
Thanks to each of you for your reply to my post. Thus far, I've managed to find
answers to some of the questions I asked initially.
I am now able to control the justification of the leftmost column in my tables,
as well as to add borders to the top and bottom. I also downloade
Hi Marc,
Oh, yes. That is quite simple. Silly me for not recognizing this. Thanks very
much for your help.
Paul
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Hello All,
Below is some sample survival analysis code. I'd like to able to get the
results from print(gehan.surv) into a matrix or data frame, so I can manipulate
them and then create a table using odfWeave. Trouble is, I'm not quite sure how
make such a conversion using the results from a pri
Hello All,
Learning to use the odfWeave package. I really like the package. It has good
documentation, makes some very nice looking tables, and seems to have lots of
options for customizing output.
There are a few things I'd like to do that don't seem to be covered in the
documentation though.
Hello Dr. Murdoch,
Thanks for your reply. Your tables package is interesting. Spent some time
experimenting with it yesterday and it looks like something I can use.
The n(%) format seems to be the standard for what I'm doing. So I can't
directly use the output your package produces. It does pro
Hello All,
Am learning to create tables with n(%) formatting using R. Below is a working
example. I think this is not bad but wondered if there are better ways of doing
it. Although it can be quite humbling, seeing good code helps me assess my
progress as an R programmer.
Ultimately want to h
Hi David, Gabor, Arun, and Rolf,
Thanks for your replies to my question. Very interesting and very helpful. I
particularly liked the one-line solutions proposed by David and Gabor. I had a
suspicion that this conversion could be done using only a minimal amount of
code.
For what I'm doing, i
Hello All,
Would like to be able to convert a matrix to a dataframe without losing an
assigned dimname.
Here is an example that should illustrate what I'm talking about.
tableData <- state.x77[c(7, 38, 20, 46), c(7, 1, 8)]
names(dimnames(tableData)) <- c("State", "")
tableData
State F
Hi Max,
It works! Updating the odfWeave and xml software did the trick. Thanks very
much for your help.
Paul
[[alternative HTML version deleted]]
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PLEASE do r
expected '&'
1: paste(levels(iris$Species), collapse = &
^
>
>
--- On Mon, 2/18/13, Max Kuhn wrote:
From: Max Kuhn
Subject: Re: [R] odfWeave: Trouble Getting the Package to Work
To: "Paul Miller"
Cc: "r-help@r-p
Hello All,
Have recently started learning Sweave and Knitr. Am now trying to learn
odfWeave as well. Things went pretty smoothly with Sweave and Knitr but I'm
having some trouble with odfWeave.
My understanding was that odfWeave should work in pretty much the same way as
Sweave. With odfWeave,
Hi Steven,
Not sure if you want to understand regular expressions in general or just the
solution to your particular problem. If it's the former and you'd be willing to
read a book on the subject, I'd recommend "Mastering Regular Expressions" by
Jeffrey Friedl. I'm about halfway through now, an
Hi Joshua,
Thanks for your very helpful reply. I took a look at your mediation tutorial,
MplusAutomation, and semutils. I may not need any of this for the current
project, but it was very interesting and I could imagine using it in the future.
I also looked at the Hastie, Tibshirani, & Friedman
Hello All,
Recently, I was asked to help out with an SEM cross-validation analysis.
Initially, the project was based on "sample-splitting" where half of cases were
randomly assigned to a training sample and half to a testing sample. Attempts
to replicate a model developed in the training sample
Happy Friday Everyone,
Hope Friday afternoon doesn't turn out to be a terrible time to post a
question. I've been doing a little data mining of patient text medical records
as of late. I started out trying to predict whether or not cancer patients had
received KRAS mutation testing and did qui
rom: Marc Schwartz
> Subject: Re: [R] A LaTeX question -- Hope people won't mind
> To: "Paul Miller"
> Cc: r-help@r-project.org
> Received: Monday, August 20, 2012, 3:27 PM
> On Aug 20, 2012, at 3:13 PM, Paul
> Miller
> wrote:
>
> > Hello All,
> >
Hello All,
Hope people won't mind my posting a LaTeX question here. I know a lot of people
who use R are also using LaTeX. I'm in a bit of a rush to complete a document
and am having trouble with one aspect of the formatting.
I'm creating a list of tables using:
\listoftables
I also have som
-varying covariate
To: "Marc Schwartz" , "Greg Snow" <538...@gmail.com>,
r-help@r-project.org, "Paul Miller"
Received: Wednesday, July 18, 2012, 8:24 AM
Marc gave the referencer for Schoenfeld's article. It's actually quite simple.
Sample size for a C
he actual analysis itself, I'll start out using the steps
you've listed and see where that takes me.
Paul
--- On Fri, 7/13/12, Greg Snow <538...@gmail.com> wrote:
From: Greg Snow <538...@gmail.com>
Subject: Re: [R] Power analysis for Cox regression with a time-varying covari
Hello All,
Does anyone know where I can find information about how to do a power analysis
for Cox regression with a time-varying covariate using R or some other readily
available software? I've done some searching online but haven't found anything.
Thanks,
Paul
_
Hi Sarah,
That I was making things too complicated doesn't surprise me. A skilled
programmer makes everything look easy I think. And someone who is still
learning does just the opposite.
Am going to spend some time now looking through your tweaks.
Thank you very much for your help.
Paul
Hello Bert and Sarah,
Thank you for your replies. Helped me understand how people might perceive my
question and why they might not respond.
Spent some time learning about R's debugging tools this morning. Began to
realize why my function didn't work. My second argument was the name of a
vari
Hello All,
Can anyone tell help me understand why the function below doesn't work and how
I can fix it? Below are some sample data, some code that works on individual
rows of the data, and my attempt to translate that code into a function. My
hope is to get the function working and then to appl
g task
> To: "Paul Miller"
> Cc: "Nick Gayeski" , r-help@r-project.org
> Received: Monday, May 21, 2012, 11:01 AM
> Hi Paul,
>
> I do not think that Nick's comment was really meant to be
> directed at
> you. He is probably just tired of getting so man
Hi Nick,
Can you elaborate (hopefully in a constructive way) on what it is that you find
objectionable about my post?
Thanks,
Paul
--- On Mon, 5/21/12, Nick Gayeski wrote:
> From: Nick Gayeski
> Subject: RE: [R] Complex text parsing task
> To: "'Paul Miller'
Hello Everyone,
I have what I think is a complex text parsing task. I've provided some sample
data below. There's a relatively simple version of the coding that needs to be
done and a more complex version. If someone could help me out with either
version, I'd greatly appreciate it.
Here are my
u could try contacting Graham Williams to see what he suggests. Or you could
turn this over to an IT person if you have one.
Sorry I can't be of more help.
Paul
--- On Fri, 5/18/12, avideh yesharim wrote:
From: avideh yesharim
Subject: Re: Correlation in Rattle
To: "Paul Miller"
Hi Avideh,
I have Rattle installed on the 64-bit version of R 2.15.0 and this seems to
work OK. I had a dataset of my own loaded into Rattle when I saw your email.
Tried creating the plot using these data but got a warning saying I should
limit the number of variables to 40. So I changed to the
Hello All,
This will probably be easy for some but isn't for me. Currently am working on a
text mining exercise. Want to be able to predict whether cancer patients got
KRAS testing, and, if so, whether the test yielded a result of wild
type/negative or mutant/positive. I've begun with a "bag-of
Greg Snow <538...@gmail.com>
> Subject: Re: [R] Selecting columns whose names contain "mutated" except when
> they also contain "non" or "un"
> To: "Paul Miller"
> Cc: r-help@r-project.org
> Received: Thursday, April 26, 2012, 1:55 PM
> S
Hello Dr. Winsemius,
There was a non-numeric column. Thanks for helping me to see the obvious.
Paul
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Hi Greg,
This is quite helpful. Not so good yet with regular expressions in general or
Perl-like regular expressions. Found the help page though, and think I was able
to determine how the code works as well as how I would select only instances
where "muta" is preceeded by either "non" or "un".
se names contain "mutated" except when
> they also contain "non" or "un"
> To: "Paul Miller"
> Cc: "David Winsemius" , r-help@r-project.org
> Received: Monday, April 23, 2012, 12:15 PM
> But maybe ... (see below)
> -- Bert
>
&g
ing columns whose names contain "mutated" except when
> they also contain "non" or "un"
> To: "Paul Miller"
> Cc: r-help@r-project.org
> Received: Monday, April 23, 2012, 11:16 AM
>
> On Apr 23, 2012, at 12:10 PM, Paul Miller wrote:
>
&g
Hello All,
Started out awhile ago trying to select columns in a dataframe whose names
contain some variation of the word "mutant" using code like:
names(KRASyn)[grep("muta", names(KRASyn))]
The idea then would be to add together the various columns using code like:
KRASyn$Mutant_comb <- rowSum
Hello Everyone,
Trying to learn a little bit about data mining. I'm working on a text mining
project that will attempt to predict whether cancer patients got a particular
type of genetic testing. A subsequent stage then will be aimed at predicting
what the results of that testing were.
I've
-help@r-project.org, "Paul Miller"
> Received: Monday, April 16, 2012, 8:30 AM
> On 04/14/2012 05:00 AM, r-help-requ...@r-project.org
> wrote:
> > Am replicating in R an analysis I did earlier using
> SAS. See this as a test of whether I'm ready to start usin
Hello Drs. Colosimo and Harrell,
Thank you for your replies to my question. From Dr. Colosimo, I was able to
determine that the SAS results can be replicated by adding the
option conf.type="log-log" to my code as in :
survobj <- survfit(survfrm, conf.type="log-log", data=Survival)
Originall
Hi Enrico,
Not sure how SAS builds the CI but I can look into it. The SAS documentation
does have a section on computational formulas at:
http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_lifetest_a000259.htm
Although I can't provide my dataset, I can p
Hello All,
Am replicating in R an analysis I did earlier using SAS. See this as a test of
whether I'm ready to start using R in my day-to-day work.
Just finished replicating a Kaplan Meier analysis. Everything seems to work out
fine except for one thing. The 95% CI around my estimate for the
Hi Baptiste,
Thanks for your help with this. Sorry for being slow to express my
appreciation. I had intended to put some more time into tweaking the graphs
before responding. Recently have been reading Hadley Wickham's ggplot2 book and
have also located some materials on the knitr package. Didn
Hello Baptiste,
What you've done is very interesting. Went through and tried to understand all
the steps. Reminded me of studying languages in years gone by. Always found it
easier to read and understand a sentence than to construct a sentence of one's
own. This is particularly true when you're
Hello All,
Recently developed the code below for graphing patterns of chemotherapy
administration. As someone just starting to use R in their work, I managed to
figure out some parts of the code but needed help with others.
setwd("N:/Regimen Coding/0906/Plots Test")
getwd()
TestData <- struct
Hello All,
Figured out how to get the gaps in the bars when a drug stops and the starts
again (see below). Made the graph overlaid/superimposed/stacked and got the
desired result. Not sure this is how an expert would do it. But it's simple and
it works.
Paul
setwd("N:/Regimen Coding/0906/Pl
insemius
> Subject: Re: [R] Plotting patient drug timelines using ggplot2 (or some other
> means) -- Help!!!
> To: "Paul Miller"
> Cc: "R. Michael Weylandt" , "Petr PIKAL"
> , "Bert Gunter" ,
> r-help@r-project.org
> Received: Friday, March
s over the last day or so.
Paul
--- On Fri, 3/23/12, R. Michael Weylandt wrote:
> From: R. Michael Weylandt
> Subject: Re: [R] Plotting patient drug timelines using ggplot2 (or some other
> means) -- Help!!!
> To: "Paul Miller"
> Cc: "Petr PIKAL" , r-he
Petr suggested. I didn't think
it would help but wanted to try just in case. No dice -- ggplot just doesn't
seem to like lists.
Thanks,
Paul
--- On Fri, 3/23/12, R. Michael Weylandt wrote:
> From: R. Michael Weylandt
> Subject: Re: [R] Plotting patient drug timelines using
Hi Michael,
Added a little more to my code (see below). It now automatically sets the name
of the file. It also does a better job of spacing the text for pattern and
patient x line at the top of the graph.
I really like the way this looks now. I just need to figure out how to loop
through the
Hi Michael,
This may be an ugly way of doing things but the "title = unique(paste( ..." bit
in the code below automates the code for pattern, patient, and line.
So now all I'd need is the looping part.
If good ways of automating the code for pattern, patient, and line or of doing
the looping a
et up correctly.
The graphs themselves might be called something like plot11, plot12, plot21,
and plot22.
Thanks,
Paul
--- On Thu, 3/22/12, R. Michael Weylandt wrote:
> From: R. Michael Weylandt
> Subject: Re: [R] Plotting patient drug timelines using ggplot2 (or some oth
le_key = 2, line = 1)") +
opts(axis.text.x = theme_blank() )
--- On Thu, 3/22/12, R. Michael Weylandt wrote:
> From: R. Michael Weylandt
> Subject: Re: [R] Plotting patient drug timelines using ggplot2 (or some other
> means) -- Help!!!
> To: "Pau
anges? Or can anyone else show me how to make
them?
Thanks,
Paul
--- On Thu, 3/22/12, Bert Gunter wrote:
> From: Bert Gunter
> Subject: Re: [R] Plotting patient drug timelines using ggplot2 (or some other
> means) -- Help!!!
> To: "Paul Miller"
> Cc: r-help@r-proje
Hello All,
Want very much to learn how to plot patient drug timelines. Trouble is I need
to figure out how to do this today. So not much time for me to struggle with
it. Hoping someone can just help me out a bit.
Below are some sample data and code that produces what I think is the beginning
o
Hello All,
Tried some more Internet searches and came to the conclusion that one probably
does need to create a "timevar" before reshaping from long to wide. Below is
some code that creates the "timevar" and transposes the data.
connection <- textConnection("
005 1 Gemcitabine
005 2 Erlotinib
Erlotinib, Paclitaxel"
instead of "Gemcitabine, Paclitaxel, Erlotinib". That's what I mean when I say
I want the columns in alphabetical order.
Thanks,
Paul
--- On Tue, 3/20/12, R. Michael Weylandt wrote:
> From: R. Michael Weylandt
> Subject: Re: [R] Reshaping data
Hello All,
I was wondering if it's possible to reshape data from long to wide in R without
using a "timevar". I've pasted some sample data below along with some code. The
data are sorted by Subject and Drug. I want to transpose the Drug variable into
multiple columns in alphabetical order.
My
Hi Brian,
This works very well. Still trying to develop some skill with R. So can't say I
understand your function completely as yet, but will work on it. I had thought
that your function might only work for two columns (because of the
"function(x,y)" part), but the example below suggests it wi
Hi Michael,
So the coalesce functions don't do what I thought they did. I'll just use
ifelse() then unless anyone makes it clear I should do something different.
Thanks,
Paul
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Hello All,
Need to coalesce some columns using R. Looked online to see how this is done.
One approach appears to be to use ifelse. Also uncovered a coalesce function in
the BBmisc, emoa, and microbenchmark packages.
Trouble is I can't seem to get it to work in any of these packages. Or perhaps
Hello All,
I have a question about measurement invariance in a multigroup SEM. I am of the
impression that one cannot test the equality of structural paths across groups
without demonstrating measurement invariance of latent factors first. At a
minimum, this would involve demonstrating that cor
Hi David and Rui,
Sorry to be so slow in replying. Thank you both for pointing out that the
problem with my code was that I was using comparison operators on mixed data
types. This is something I'll have to be more careful about in the future.
In an earlier email, David talked about how R can s
Hi Marc,
That the code I wrote initially is over engineered is certainly possible. Of
course, Rui's solution is a reworking of that code. If starting from scratch,
Rui likely would have done something quite different. I focused on Rui's code
because it was complete and was a clear improvement o
Hello Everyone,
I am familiar with the use of 2SLS to mimic SEM. I even used this approach once
to estimate a model with a latent interaction term.
Does anyone know how to extend this approach to nested data? I have cancer
patients with measures of cancer symptoms, functional impairment, and
p
Hi Rui, Marc, and Gabor,
Thanks for your replies to my question. All were helpful and it was interesting
to see how different people approach various aspects of the same problem.
Spent some time this weekend looking at Rui's solution, which is certainly much
clearer than my own. Managed to figu
rint' it allows for several arguments and (very) simple formating.
{ cat("Error: Invalid date values in", DateNames[[i]], "\n",
TestDates[DateNames][[i]][TestDates$Invalid==1], "\n") }
Rui Barradas
Message: 53
Date: Tue, 24 Jan 2012 08:54:49 -
TestDates[DateNames][[i]][TestDates$Invalid==1], "\n") }
Rui Barradas
Message: 53
Date: Tue, 24 Jan 2012 08:54:49 -0800 (PST)
From: Paul Miller
To: r-help@r-project.org
Subject: [R] Checking for invalid dates: Code works but needs
improvement
Message-ID:
<1327424089.1149.y
Hello Everyone,
Still new to R. Wrote some code that finds and prints invalid dates (see
below). This code works but I suspect it's not very good. If someone could show
me a better way, I'd greatly appreciate it.
Here is some information about what I'm trying to accomplish. My sense is that
th
Hello Everyone,
I have a question about how best to check dates for entry errors. I recently
discovered that R will read the incorrectly entered date "11/23/21931" without
producing a warning or an error message at least under some circumstances.
> as.Date("11/23/21931", format = "%m/%d/%Y")
Hi Michael and David,
Thank you both for your reply to my question. Problem solved. I'm finding that
my level of success with R is a little uneven thus far. I'm sometimes surprised
by the things I can do, but then am even more surprised by the simple things I
struggle with.
Appreciate your hel
Hello All,
I've been reading books about R for awhile now and am in the process of
replicating the SAS analyses from an old report. I want to be sure that I can
do all the things I need to in R before using it in my daily work.
So far, I've managed to read in all my data and have done some data
Hello Everyone,
I need to perform a sample size calculation using a drop the loser/keep the
winner design. I've been searching for examples of how to do this using R but
haven't found much.
The most promising possibility thus far is an R function called DrpLsrNRst.
This appears in the book
I can add one more title. The foundations of statistics: A simulation-based
approach by Vasishth and Broe.
Paul
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Hello All,
Recently, I discovered that there are appear to be some good R related books
that don't have R in the title. For example, I'm currently reading Gellman and
Hill's book Data Analysis using Regression and Multilevel/Hierarchical Models.
The book uses R (and BUGS) but doesn't appear to
Thanks for your reply Marc. I'll look into the information you sent.
It ocurred to me that I could have done a better job of describing what I'm
trying to do. It can be difficult to do that sometimes when your unfamiliar
with a topic and are still trying to figure it out yourself.
In investigat
Hello everyone,
I need to do a sample size calculation. The study two arms and two endpoints.
The two arms are two different cancer drugs and the two endpoints reflect
efficacy (based on progression free survival) and toxicity.
Until now, I have been trying to understand this in terms of a on
Hello Everyone,
I'm learning to do survival analysis in R using a time-varying covariate. I've
managed to set up my data correctly using SAS and then to get the correct
result using R.
What I'd like help with is getting the data set up correctly in R without
having to resort to using SAS. Bel
Having trouble posting. This is a second test email to help determine if the
problem has been resolved.
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Having trouble posting. Thought it might have something to do with the
particular message I'm sending. Sending this message to test that possibility.
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Hi Terry and Kevin,
Â
Thanks for your replies to my post. And thanks particularly to Terry for
pointing out my confusion about the "exact partial likelihood" vs. the "exact
marginal likelihood." I'm learning and so am likely to be confused about such
things from time to time.
Â
I had thought
Hello Everyone,
I'm learning how to perform various statistical analyses in R. I'm checking my
understanding by replicating examples from my SAS books. Below is an attempt to
replicate a Cox Proportional Hazards model with a time-varying covariate. I
think I'm doing this correctly but am not c
Hi Josh,
Thanks for your reply. You're right about letting R's method dispatch system
choose the method for summary and inserting more spaces in the code. I was just
messing around with the code in the former case and forgot to change it back.
As far as not having enough whitespace goes, I've
Hello Everyone,
Figured out one part of the code. Setting the reference level for a factor is
accomplished using the relevel funtion (pg. 383 of MASS; pg. 70 of Data
Manipulation with R):
gad$dosegrp <- relevel(gad$dosegrp,3)
This works very well. Much better than using a format in SAS proc
Hello Everyone,
I've been learning to use R in my spare time over the past several months. I've
read about 7-8 books on the subject. Lately I've been testing what I've learned
by trying to replicate the analyses from some of my SAS books. This helps me
make sure I know how to use R properly an
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