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-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of MacQueen, Don
Sent: Friday, September 16, 2011 6:58 PM
To: Luke Miller; beaulieu.j...@epamail.epa.gov
Cc: r-help@r-project.org
Subject: Re: [R] Help writing basic loop
Just
Just a minor aside; I would have done
my.slopes <- numeric(100)
Note that:
> class(numeric(5))
[1] "numeric"
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 9/16/11 12:37 PM, "Luke Miller" wrote:
>Create an output
You can also do the regressions "in parallel" as follows:
x = -25:25
y = 0.05*x^2 + 2* x - 4
y1 = y + rcauchy(51)
y2 = y + rcauchy(51)^2
y3 = y/10 - 5 + rnorm(51)
Y = cbind(y, y1, y2, y3)
m = lm(Y~x)
print(coef(m))
Hope this helps,
Michael
On Fri, Sep 16, 2011 at 3:37 PM, Luke Miller wrote:
Create an output vector to hold your slopes before starting the loop, then
use your index i to place each new slope in the appropriate position in your
vector.
y1<-rnorm(100, mean=0.01, sd=0.001)
y2<-rnorm(100, mean=0.1, sd=0.01)
x<-(c(10,400))
my.slopes = vector("numeric",100) # initialize a
Hello,
I would like to write a loop to 1) run 100 linear regressions, and 2)
compile the slopes of all regression into one vector. Sample input data
are:
y1<-rnorm(100, mean=0.01, sd=0.001)
y2<-rnorm(100, mean=0.1, sd=0.01)
x<-(c(10,400))
#I have gotten this far with the loop
for (i in 1:10
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