Displaying 20 results from an estimated 400 matches similar to: "testing for significantly different slopes"
2007 Dec 12
3
lm/model.matrix confusion (? bug)
Dear List-members,
Hopefully someone will help through my confusion:
In order to get the same coefficients as we get from the following
##
require (MASS)
summary ( lm(Gas ~ Insul/Temp - 1, data = whiteside) )
......................
we need to do the following (if we use model.matrix to specify the model)
##
summary ( lm(Gas ~ model.matrix(~ Insul/Temp - 1) - 1, data = whiteside) )
2018 Dec 15
2
Documentation examples for lm and glm
A pragmatic solution could be to create a simple linear regression example
with variables in the global environment and then another example with a
data.frame.
The latter might be somewhat more complex, e.g., with several regressors
and/or mixed categorical and numeric covariates to illustrate how
regression and analysis of (co-)variance can be combined. I like to use
MASS's whiteside
2010 Feb 08
3
What is the equivalent function in R to xyplot in S?
Page 140 of MASS uses the function xyplot. But I don't find it in R.
Is there a package that I should load to use xyplot. Or there is a
function with a different name in R that does the same thing as xyplot
in S.
xyplot(Gas ~ Temp | Insul, whiteside, panel =
function(x, y, ...) {
panel.xyplot(x, y, ...)
panel.lmline(x, y, ...)
}, xlab = "Average external temperature (deg. C)",
ylab
2002 Jun 19
1
superscripts in xyplot labels
R-helpers;
I tried to get a superscripted 3 in the following xyplot example but failed:
>data(whiteside)
>xyplot(Gas ~ Temp | Insul, whiteside, panel =
function(x, y, ...) {
panel.xyplot(x, y, ...)
panel.lmline(x, y, ...)
}, xlab = "Average external temperature (deg. C)",
ylab = paste(paste("Gas consumption (1000", expression(ft^3),")"), aspect
2009 Mar 22
3
data analysis. R
so i am having this question
what should i do if the give data file (.txt) has 4 columns, but different
lengths?
how can i read them in R?
any idea for the following problem?
Gas consumption (1000 cubic feet) was measured before and after insulation
was put into
a house. We are interested in looking at the effect of insulation on gas
consumption. The
average outside temperature (degrees celcius)
2018 Dec 16
3
Documentation examples for lm and glm
On Sat, 15 Dec 2018, frederik at ofb.net wrote:
> I agree with Steve and Achim that we should keep some examples with no
> data frame. That's Objectively Simpler, whether or not it leads to
> clutter in the wrong hands. As Steve points out, we have attach()
> which is an excellent language feature - not to mention with().
Just for the record: Personally, I wouldn't recommend
2008 Feb 23
3
using subset() in data frame
R folks,
As an R novice, I struggle with the mystery of subsetting. Textbook and
online examples of this seem quite straightforward yet I cannot get my
mind around it. For practice, I'm using the code in MASS Ch. 6,
"whiteside data" to analyze a different data set with similar variables
and structure.
Here is my data frame:
###subset one of three cases for the variable
2000 Sep 26
3
lm -- significance of x coefficient when I(x^2) is used
In "Modern Applied Statistics with S-Plus" 3rd ed., footnote on page 153
regarding a model lm(Gas~Insul/(Temp+I(Temp^2))-1,whiteside), I read
"Notice that when the quadratic terms are present, first degree
coefficients mean 'the slope of the curve at temperature zero', so a
non-significant value does not mean that the linear term is not
needed.
2001 Jan 04
6
regression constraints?
gday R gurus,
I have a multivariate regression for which I want to constrain the
coefficients to be > 0. Is this possible?
I've check the doco and searched CRAN but can't find anything.
thanks,
John Strumila
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Send
2008 Jul 07
3
A quick question about lm()
I have a simple regression using lm().
If I just want to check the coefficient, I can use summary(lm())$coef; if I
need the standard error, I can use summary(lm())$s, if I need the residuals,
I can use summary(lm())$res. OK. How can I get the R-squares and Adjusted
R-squares using $...?
Is there a function, like objects(), that can show all the references for
values?
Thanks a lot!
--
View this
2008 Feb 15
1
Re storing a UPDATES on a data.frame
Hello everyone,
Can anyone tell me how do I restore data in a data.frame provided by base
R libraries (MASS) ?
I uninstalled R then installed it again and I still see the new changes I
made!!!???
(eg. whiteside$Temp=1 ==> 1 overwrote all the rows, I want the old values :(
!!
Please HELP!
--
View this message in context:
2018 Dec 15
0
Documentation examples for lm and glm
I agree with Steve and Achim that we should keep some examples with no
data frame. That's Objectively Simpler, whether or not it leads to
clutter in the wrong hands. As Steve points out, we have attach()
which is an excellent language feature - not to mention with().
I would go even further and say that the examples that are in lm() now
should stay at the top. Because people may be used to
2018 Dec 17
0
Documentation examples for lm and glm
Thanks for the discussion. I do feel quite strongly that
the variables should always be a part of a data frame. Then
functions such as summary() and pairs() can operate on them all
simultaneously.... regression is only one part of the analysis. And
what if there are lots of variables? Have them all scattered
about the workspace? One of them could be easily overwritten.
The generic predict() will
2016 May 02
5
C6 Firefox 45.1 segmentation faults
I think this site is always failing. It has an embedded video.
http://www.sportsnet.ca/basketball/nba/free-association-podcast-much-toronto-raptors-fear-miami-heats-dwayne-wade-hassan-whiteside-joe-johnson/
I tried looking at the output of
strace firefox > fferrors.txt 2>&1
grep ENOENT fferrors.txt
hope that helps
Note: I also have ffmpeg with nux's repo installed
On Mon, May
2018 Dec 14
7
Documentation examples for lm and glm
FWIW, before all the examples are changed to data frame variants, I think there's fairly good reason to have at least _one_ example that does _not_ place variables in a data frame.
The data argument in lm() is optional. And there is more than one way to manage data in a project. I personally don't much like lots of stray variables lurking about, but if those are the only variables out
2000 Aug 01
1
Testing for parallel slopes
I'm running a series of simple bivariate linear regressions on grouped
data. I want to test the slopes to see if they are parallel. I normally
use analysis of covariance to do so, looking at interaction between the
covariate and the factor to make this determination.
VR3 pp.149 - 154 has a very nice example of an ANOCOVA, ending with a
discussion of this very operation.
My question has
2013 Sep 04
2
Attribute Length Error when Trying plm Regression
Hello,
I am trying to run a fixed effects panel regression on data containing 5
columns and 1,494 rows.
I read the data in as follows:
>drugsXX<-read.csv(file="C:\\Folder\\vX.X\\Drugs\\drugsXX_panel.csv",
head=TRUE, sep=",")
Verified it read in correctly and had a good data.frame:
>dim(drugsXX)
[1] 1494 5
>drugs XX
produce expected data with correct column
2010 May 11
5
Regressions with fixed-effect in R
Hi there,
Maybe people who know both R and econometrics will be able to answer
my questions.
I want to run panel regressions in R with fixed-effect. I know two
ways to do it.
First, I can include factor(grouping_variable) in my regression equation.
Second, I plan to subtract group mean from my variables and run OLS
panel regression with function lm().
I plan to do it with the second way because
2012 Oct 29
1
Hausman test error solve
Hello,
I am trying to conduct a Hausman test to choose between FE estimators and RE
estimators.
When I try to run:
library(plm)
fixed <- plm(ROS ~ DiffClosenessC +ZZiele + AggSK + nRedundantStrecken +
Degree + KantenGew + BetweennessC + SitzKappazitaet,
data=Panel,index=c("id","time"),model="within")
summary(fixed)
fixef(fixed)
random <-plm(ROS ~
2003 Sep 24
1
Graph window is not available any more
Hi all,
I have currently been using the book Modern Applied Statistics with S from
Venables and Ripley. At chapter 6 on Linear Statistical models I wanted to
produce the plot as shown by "Figure 6.1" using Whiteside's data. xyplot
command seems not to work on my version of "R"(version 1.7.0) running on
different environments (Win XP, Win 98 and Win 2000). I then used the