use the PCRE regex library
anyway. However, as this is basically what you did, I'm not sure why you're not
happy with your existing approach.
-Original Message-
From: Paul Miller [mailto:pjmiller...@yahoo.com]
Sent: Thursday, July 13, 2017 3:01 PM
To: Robert McGehee
Cc
Hi Paul,
Sounds like you have your answer, but for fun I thought I'd try solving your
problem using only a regular expression query and base R. I believe this works:
> txt <- "Patient had stage IV breast cancer. Nothing matches this sentence.
> Metastatic and breast match this sentence. French
Hello,
I have a vector of values with significant autocorrelation, and I want to
calculate an unbiased standard deviation that adjusts for the autocorrelation.
The formula linked below purports to provide what I want:
https://en.wikipedia.org/wiki/Unbiased_estimation_of_standard_deviation#Effect
;,"B")))
lmresid(y~x1+x2, data=df)
resid(lm(y~x1, data=df, na.action=na.exclude))
--Robert
PS, Peter, wasn't sure if you also meant to add comments, but they
didn't come through.
On Fri, Mar 11, 2016 at 3:40 AM, peter dalgaard wrote:
>
>> On 11 Mar 2016, at 02:03 ,
in NAs.
I'm currently leaning towards rewriting model.matrix.default so that it
removes offending terms rather than give an error, but if someone has done
this already (or something more elegant), that would of course be preferred
:)
--Robert
On Thu, Mar 10, 2016 at 7:39 PM, David Winsemi
Hello R-helpers,
I'd like a function that given an arbitrary formula and a data frame
returns the residual of the dependent variable, and maintains all NA values.
Here's an example that will give me what I want if my formula is y~x1+x2+x3
and my data frame is df:
resid(lm(y~x1+x2+x3, data=df, na.
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