yes, but the outcome graphs are almost the same, that mean it does not
calculated in a cumulative way , if you apply the following code, then run
hi(x), and then recta(x), you will see how the shape are similar to the
frequency of Amino Acid in the matrix. i am looking for a code that can do
I have an additive model of the following form :
zmdlfit - lm(z~ns(x,df=6)+ns(y,df=6))
I can get the fitted values and plot them against z easily enough, but I
also want to both obtain and plot the two additive components (the estimates
of the two additive terms on the RHS)
I've been looking
On Jan 27, 2010, at 9:09 PM, GlenB wrote:
I have an additive model of the following form :
zmdlfit - lm(z~ns(x,df=6)+ns(y,df=6))
I can get the fitted values and plot them against z easily enough,
but I
also want to both obtain and plot the two additive components (the
estimates
of the
Check the package doBy as well (pretty handy for analysis of grouped data).
library(doBy)
summaryBy(PM~ID,data=d,FUN=median)
HTH,
-Girish
--
View this message in context:
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Sent from the R help mailing list archive at
Hi all,
I have imported xlsx file (Excel 2007) into R using the following scripts.
*library(RODBC)
*
*setwd(...) *
*query - odbcConnectExcel2007(xls.file = GI 2010.xlsx, readOnly = TRUE)
dat - sqlQuery(query, select * from [sheet1$], as.is = TRUE, na.strings =
exp)*
*dat* contain one
Hello,
I'm trying to permute a vector of positive integers 0 with the constraint
that each element must be = twice the element before it (i.e. for some
vector x, x[i] = 2*x[i-1]), assuming the 0th element is 1. Hence the
first element of the vector must always be 1 or 2 (by assuming the 0th
Yes, reinstalling it worked. I wonder what changed to cause this,
especially if it happened to someone else?
And I was a bit worried because I think tcl/tk is installed elsewhere
too. In /usr/local/lib, there is a tcl 8 and tcl 8.5. How do I clean up
this install?
Thanks,
Jim
On 1/27/10 5:07
Hi All,
I'm conducting a meta-analysis and have taken a data.frame with multiple
rows per
study (for each effect size) and performed a weighted average of effect
size for
each study. This results in a reduced # of rows. I am particularly
interested in
simply reducing the additional
Hi All,
I'm using glm() in R to perform Poisson regression, I'm wondering if its
possible to get equivalent Type 1 / Type 3 Analysis (similar to one in PROC
GENMOD).
Thanks,
Kim
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R-help@r-project.org
Dear R-users,
Â
I have seen many times posts about Fourier transform, and I
am trying to do one right now. Before to apply any scripts, I wonder whether it
could properly apply to my problem, and even though itâs not a
statistics-helpers mailing list maybe one of you would be able to answer
Dear GlenB,
The allEffects() function in the effects package can make these plots.
I hope this helps,
John
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On
Behalf Of GlenB
Sent: January-27-10 9:09 PM
To: r-help@r-project.org
Dear Kim,
The standard R function anova() produces sequential (type I) tests; the
Anova() function in the car package can produce type-III tests (it
performs type-II tests by default), but you must be careful with contrast
coding if there are terms in the model related by marginality.
I hope
Hi All,
I'm conducting a meta-analysis and have taken a data.frame with multiple
rows per
study (for each effect size) and performed a weighted average of effect size
for
each study. This results in a reduced # of rows. I am particularly
interested in
simply reducing the additional variables in
i have a simple question. If i have a 2x2 matrix with [,1] and [,2] i want to
test each of these to see if they are below some number. If each component
in column is below the number then it returns a 1. Now from this result I
would like to add the number of 1's that came up. How can i do this?
HI
r-help-boun...@r-project.org napsal dne 28.01.2010 04:35:29:
Hi All,
I'm conducting a meta-analysis and have taken a data.frame with
multiple
rows per
study (for each effect size) and performed a weighted average of
effect
size for
each study. This results in a reduced # of
Hi
r-help-boun...@r-project.org napsal dne 28.01.2010 06:21:40:
i have a simple question. If i have a 2x2 matrix with [,1] and [,2] i
want to
test each of these to see if they are below some number. If each
component
in column is below the number then it returns a 1. Now from this result
Do you actually need the intermediate result (the vector of 1's and 0's), or
just the result - the total number of columns?
Is the number you're comparing to different for each column?
Assuming the answers are just the result and comparing to the same
number
x - matrix(c(4,5,7,2),nc=2)
num -
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