Message-ID: <4D09C198-87D8-4F5B-8E32-CECA35C15F37@gmail.com>
Date: 2017-02-04T16:43:11Z
From: Peter Dalgaard
Subject: Change (merge) vector by row names.
In-Reply-To: <CAKY_brEbJcey__MpJ9jjyUPLt6_yG25poRVbQC9mdfjr-S22Yw@mail.gmail.com>
> On 03 Feb 2017, at 21:07 , Art U <art.tem.us at gmail.com> wrote:
>
> Hello,
>
> I have a vector of coefficients from backward selection model that looks
> like:
>
> [,1]
> (Intercept) -0.15
> s1[, 1] 2.65
> s1[, 2] 1.81
> s1[, 5] 2.35
>
>
> I'd like to get a new vector that contains zeroes for variables that were
> not included in the final model. For example here it suppose to be:
>
> [,1]
> (Intercept) -0.15
> s1[, 1] 2.65
> s1[, 2] 1.81
> s1[, 3] 0
> s1[, 4] 0
> s1[, 5] 2.35
>
> s1[, 6] 0
>
> s1[, 7] 0
>
> s1[, 8] 0
>
>
> Is there simple function I can use to get such result?
I wouldn't waste time looking for it... It goes something like
fullnames <- ...
extended <- matrix(0,length(fullnames),1)
rownames(extended) <- fullnames
extended[rownames(reduced),] <- reduced
where, presumably, you can find fullnames fromm the fit of a full model.
-pd
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com