Displaying 20 results from an estimated 1000 matches similar to: "Encoding of Sweave file error message"
2011 May 25
1
Adjusted Rate Ratios in R
I am trying to calculate Poisson regression based adjusted rate ratios in R,
but R's default in glm does not code the intercept as the global rate. In
SAS I use "cell means" coding so that the intercept is the global rate, but
I do not know how to do this in R. If anyone knows a way to make glm use
"cell means", or an how to find adjusted rate ratios I would be grateful.
2011 Jun 15
1
Legend in lattice
Dear all, I have been working in a plot based on figure 5.6 of the Lattice book (http://lmdvr.r-forge.r-project.org/figures/figures.html).
I
have already modified it to include the size of the circles as another
variable, but I would like to modify the legend to show it (like they do
it in http://www.jstatsoft.org/v15/i05/paper). I have divided my variable in intervals:
DATA$s_Shape_2 <-
2011 Jul 06
3
Tables and merge
----- Original Message -----
From: "Silvano" <silvano at uel.br>
To: <r-help at r-project.org>
Sent: Thursday, June 30, 2011 9:07 AM
Subject: Tables and merge
> Hi,
>
> I have 21 files which is common variable CODE.
> Each file refers to a question.
>
> I would like to join the 21 files into one, to construct
> tables for each question by CODE.
>
2011 Aug 06
1
multcomp::glht() doesn't work for an incomplete factorial using aov()?
Hi R users,
I sent a message yesterday about NA in model estimates (
http://r.789695.n4.nabble.com/How-set-lm-to-don-t-return-NA-in-summary-td3722587.html).
If I use aov() instead of lm() I get no NA in model estimates and I use
gmodels::estimable() without problems. Ok!
Now I'm performing a lot of contrasts and I need correcting for
multiplicity. So, I can use multcomp::glht() for this.
2012 Apr 11
1
Lattice densityplot with semitransparent filled regions
Hello,
I'm doing some graphics for a paper and a need customize such with filled
region above the density curve. My attempts I get something very near what
I need, but I don't solve the problem of use semitransparent filled. Below
a minimal reproducible code. Someone has any idea?
require(lattice)
# toy data...
dt <- expand.grid(A=1:2, B=1:3, y=1:50)
dt$y <- rnorm(nrow(dt), dt$B,
2011 Feb 15
1
ternary contour plot
Colin,
If your propose is to create a ternary plot with points and vectors, I think easier do this with graphics based plots instead of trellis based plots. Although, with little work you can do with trellis too. I gave you a reproducible code to put an arrow in a ternary plot. I use the function locator() to extract coordinates. The code is the following
2011 Jun 02
4
Use line break at scrip but avoid line break on graphics
Hello list,
I have plots with long strings in main=, ylab= or xlab=. So, in I my script
I use break long lines to avoid lines hiden on my monitor and in sweave
document pages. I use graphics like this
plot(1, main="aaaaaaaaaaaaaaaaaaaa
bbbbbbbbbbbbbbbbbbbb")
but I would like a plot result like this
plot(1, main="aaaaaaaaaaaaaaaaaaaa bbbbbbbbbbbbbbbbbbbb")
I
2011 Jun 01
1
xtable with conditional formatting using \textcolor
Hello list,
I'm doing a table with scores and I want include colors to represent status
of an individual. I'm using sweave <<results=tex>>= and xtable but I can't
get a result I want. My attemps are
#-----------------------------------------------------------------------------
# code R
da <- data.frame(id=letters[1:5], score=1:5*2)
col <- function(x){
2011 Aug 06
1
How set lm() to don't return NA in summary()?
Hi,
I've data from an incomplete fatorial design. One level of a factor doesn't
has the levels of the other. When I use lm(), the summary() return NA for
that non estimable parameters. Ok, I understant it. But I use
contrast::contrast(), gmodels::estimable(), multcomp::glht() and all these
fail when model has NA estimates. This is becouse vcov() and coef() has
different dimensions. Is
2010 Feb 17
2
How to provide a result from D(f(x), "x") to a curve(f'(x)) ???
Hi all,
I want to provide the result from D() to curve(), because I want to plot the k-th derivative of some functions. Actually, I copy from console the result given by D() and paste inside curve(). With a lot of functions and high degree differentiation this process is tedious. Can I provide directly??
# what I actually have done (very simple function)
D(expression(x^3), "x") # copy
2010 Jan 14
3
Barchart bar lengths not proportionate
When I use barchart (with default formatting options), I get bars whose
lengths/heights are not proportional to their value. For example:
http://drop.io/wbagm6s/asset/capture-png
Many of the values in this chart are 1; however, because the blue bars
extend to the left of the "0" tick mark, those bars appear to represent
higher numeric values. Is there a way to make the length of the
2011 May 26
0
Using deriv3() in a separated nonlinear regression model
Hi all,
I'm adjusting a nonlinear regression model for data that has a categorigal
variable present. So, I can use nls() to do this considering the categorical
variable, like this
#------------------------------------------------------------
da <- expand.grid(tr=gl(2,1,la=c("tr")), x=1:12)
da$y <- 10*da$x/(3+da$x)+rnorm(da$x,0,0.1)
plot(y~x, da)
n0 <-
2012 Nov 05
0
Diference in results from doBy::popMeans, multcomp::glht and contrast::contrast for a lme model
Hello R users,
I'm analyzing an experiment in a balanced incomplet block design (BIB). The
effect of blocks are assumed to be random, so I'm using nlme::lme for this.
I'm analysing another more complex experiments and I notice some diferences
from doBy::popMeans() compared multcomp::glht() and contrast::contrast().
In my example, glht() and contrast() were equal I suspect popMeans()
2010 May 26
1
Is possible a mini-plot into a big plot with Lattice?
Hello,
I want to do with Lattice functions (qqmath, histogram) a figure like this below.
n <- 1000
x <- rnorm(n)
qqnorm(x); qqline(x)
op <- par(fig=c(.02,.5,.5,.98), new=TRUE)
hist(x, xlab="", ylab="", main="", axes=FALSE)
box()
par(op)
Is possible?
Thanks.
Walmes Zeviani.
_________________________________________________________________
2010 Feb 20
1
How get the single bar x coordinate in barchart when groups is used?
Hi all,
I am using barchart() to plot values above the bars. When using groups argument we get bars grouped arround a given x level. By placing values above this bars we need to know the respective x coordinates. How can I get it?
require(lattice)
da <- expand.grid(x=1:5, z=1:3, w=1:2)
da$y <- rpois(da$x, lambda=23)
barchart(y~x|w, groups=z, data=da, horizontal=FALSE,
2013 Apr 18
1
texi2pdf texinputs arguments
Dear All
I am trying to specify the output directory and the directory for the
log files (the same) for texi2dvi.
The default for my windows computer is C:\Users\...\Documents which I
do not want.
The help guide:
texinputs NULL or a character vector of paths to add to the LaTeX
and bibtex input search paths.
is a little cryptic for me this morning
I have tried
texi2dvi(file =
2010 Jan 16
1
Hierarchical Linear Model using lme4's lmer
Hi,
I was wondering: I've got a dataset where I've got student 'project's
nested within 'school's, and 'division' (elementary, junior, or
senior) at the student project level. (Division is at the student
level and not nested within schools because some students are
registered as juniors & others as seniors within the same school.)
So schools are random,
2010 Jan 22
1
confidence intervals for mean (GLM)
Dear useRs,
How could I obtain the confidence intervals for the means of my treatments, when my data was fitted to a GLM?
I need the CI's for the Poisson and Negative Binomial distributions.
Here's what I have:
mydata1 <- data.frame('treatments'=gl(4,20), 'value'=rpois(80, 1))
model1 <- glm(value ~ treatments, data=mydata1, family=poisson)
means1 <-
2010 Jan 23
2
About LU decomposition in R
Hi,
How can I find and download a function in R to do the LU decompostion for finding the upper and lower triangular matrix. Thank you so much.
Joe
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2010 Feb 16
2
HELP on Non-Linera Mixed-Effect model
Hi,
I'm trying to fit nonlinear mixed effects model using nlme function but getting an error message. Here is what I have:
fitted_model = nlme(scores~spline(b1,b2,b3,kt,time),
fixed = list(b1~1, b2~1, b3~1, kt~1),
random = b1+b2+b3~1,
groups= ~id,
data = sdat,
start = c(b1=3.5,b2=2,b3=.60,kt=3.5),verbose=T)
Error:
Error in