Hi:
A trip to package sos reveals that simple.lm() is in the UsingR
package. Looking at the code of this function, it plots the (x, y)
pairs and the fitted least squares line without an option to suppress
the plot. Here's a slight hack of the function; it adds a new argument
plot with default action TRUE; after the linear model is fit, an if
statement tests to see if the plot is desired; if FALSE, it simply
returns the (print method of the) fitted object.
simple.lm2 - function (x, y, plot = TRUE, show.residuals = FALSE,
show.ci = FALSE, conf.level = 0.95, pred = FALSE)
{
op - par()
ord - order(x)
x - x[ord]
y - y[ord]
tmp.lm - lm(y ~ x)
if(!plot) return(tmp.lm) else {
if (show.residuals) {
par(mfrow = c(2, 2))
}
plot(x, y)
abline(tmp.lm)
if (show.ci) {
xvals - seq(min(x), max(y), length = 15)
curve(predict(tmp.lm, data.frame(x = x), level = conf.level,
interval = confidence)[, 3], add = TRUE)
curve(predict(tmp.lm, data.frame(x = x), level = conf.level,
interval = confidence)[, 2], add = TRUE)
curve(predict(tmp.lm, data.frame(x = x), level = conf.level,
interval = prediction)[, 3], lty = 3, add = TRUE)
curve(predict(tmp.lm, data.frame(x = x), level = conf.level,
interval = prediction)[, 2], lty = 3, add = TRUE)
}
coeffs - floor(tmp.lm$coeff * 100 + 0.5)/100
plusorminus - c(+)
if (coeffs[1] 0)
plusorminus - c()
title(paste(y = , coeffs[2], x , plusorminus, coeffs[1]))
if (show.residuals) {
Fitted - fitted.values(tmp.lm)
Residuals - residuals(tmp.lm)
plot(Fitted, Residuals)
abline(h = 0)
title(Residuals vs. fitted)
hist(Residuals, main = hist of residuals)
qqnorm(Residuals, main = normal plot of residuals)
qqline(Residuals)
}
if (pred) {
print(predict(tmp.lm, data.frame(x = pred)))
}
}
tmp.lm
}
#
# Simple test:
plot(x - 1:10)
y - 5*x + rnorm(10,0,1)
tmp1 - simple.lm2(x, y, plot = FALSE)
summary(tmp1)
# Produces the plot
simple.lm2(x, y)
HTH,
Dennis
On Thu, Oct 27, 2011 at 7:35 AM, David Winsemius dwinsem...@comcast.net wrote:
On Oct 27, 2011, at 6:58 AM, Elinor Zeev wrote:
Hi,
I am using PostgreSQL 9.1 and want to run
loglinear_simple-simple.lm(x$p_overPnot,x$logQuantity,show.ci
=FALSE,conf.level=confidenceLevel)
without showing the graph, however the show.ci=FALSE is ignored.
My guess (and it is a guess since you did not specify a package for
simple.lm) is that specifying a conf.level is over-riding the show.ci
parameter. Why would one specify a value for conf.level if one did not
want a confidence level?
I have quite few packages loaded and I still get:
?simple.lm
No documentation for 'simple.lm' in specified packages and libraries:
you could try '??simple.lm'
--
David Winsemius, MD
West Hartford, CT
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
