I am creating graphs for a publication and would like them to have the same
font size... but when I create a figure with multiple plots, the font size
decreases even though I haven't changed the tiff() resolution or
pointsize specifications, I have increased the figure size according to how
many
, D)) break
[...etc...]
Em 10-08-2012 20:42, Claudia Penaloza escreveu:
This is what my code looks like now. However, there is one thing I
can't/don't know how to fix.
I can't get it to be once dead always dead, i.e., in any given row,
after
a D or a d there should be only zeros.
I've
{
observable - runif(1, 0, 1) = PsiaA
}
if (observable) {
if (runif(1, 0, 1) = p) y[q, j] - A
}
} else {
if (observable) {
if (runif(1, 0, 1) = c) y[q, j] - A
}
}
}
}
On Wed, Aug 8, 2012 at 2:04 PM, Claudia Penaloza
claudiapenal
Answers inserted in BLUE below
On Thu, Aug 2, 2012 at 5:34 PM, Claudia Penaloza
claudiapenal...@gmail.comwrote:
Thank you very much for all your suggestions. I am very sorry my code is
so crude (it gives me a headache too!), I'm very new to R programing. I
will have to look at your
]=A
}
}
}
}
}
There are a lot of unnecessary tests and conditions. I tried to break
down the code and write the tests that have been done when assigning a
variable. I simplified your the first part but cannot guarantee that all
criteria are met.
Regards,
Eloi
On 12-08-01 09:47 AM, Claudia Penaloza
:28 PM, Rui Barradas wrote:
Hello,
Maybe something along the lines of
J - 10
cols - rep(c(TRUE, TRUE, FALSE, FALSE), 3)[seq_len(J)]
for(i in which(cols)) { do something }
for(i in which(!cols)) { do something else }
Hope this helps,
Rui Barradas
Em 31-07-2012 00:18, Claudia Penaloza
Dear All,
I would like to apply two different for loops to each set of four columns
of a matrix (the loops here are simplifications of the actual loops I will
be running which involve multiple if/else statements).
I don't know how to alternate between the loops depending on which column
is running
0.002456
, header=TRUE)
dd
i1 - grepl(^([0D]|[0d])*$, dd$ch)
i2 - grepl(^0*[Dd], dd$ch)
dd[!i1, ]
dd[!i2, ]
dd[!(i1 | i2), ]
Hope this helps,
Rui Barradas
Em 02-07-2012 23:48, Claudia Penaloza escreveu:
I would like to remove rows from the following data frame (df
Got it! Thank you Rui!
cp
On Tue, Jul 3, 2012 at 10:14 AM, Rui Barradas ruipbarra...@sapo.pt wrote:
Hello,
I'm glad it helped. See answer inline.
Em 03-07-2012 17:09, Claudia Penaloza escreveu:
Thank you Rui and Jim, both 'i1' and 'i1new' worked perfectly
because there are no instances
I would like to remove rows from the following data frame (df) if there are
only two specific elements found in the df$ch character string (I want to
remove rows with only 0 D or 0 d). Alternatively, I would like
to remove rows if the first non-zero element is D or d.
Is it possible to generate a density plot comparing several (6 or 7) groups
of data and have the x-axis in date format (e.g.: %d%b, 10Mar)?
When I try to input the data in date format I get an error saying this
function only allows 1-d data.
Thank you,
Claudia
[[alternative HTML version
I adjusted an exponential regression to the following data and wish to plot
confidence bands as well. Is this possible?
Any help greatly appreciated.
Claudia
x - c(1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,
2002,2003,2004,2005,2006,2007,2008,2009)
y -
I fit a GAM to turtle growth data using mgcv:
m1 - gam(growth~s(mean.size,
bs=cr)+s(year,bs=cr,k=7)+s(cohort,bs=cr)+s(age,bs=cr), data=grow,
family=quasi(link=identity))
The errors are skewed (and seem to be correlated with age) (code and plots
here:
(corrected version of previous posting)
I fit a GAM to turtle growth data following methods in Limpus Chaloupka
1997 (http://www.int-res.com/articles/meps/149/m149p023.pdf).
I want to obtain figures similar to Fig 3 c f in Limpus Chaloupka
(1997), which according to the figure legend are
I ran this code (several times) from the Quick-R web page (
http://www.statmethods.net/advstats/cart.html) but my cross-validation
errors increase instead of decrease (same thing happens with an unrelated
data set).
Why does this happen?
Am I doing something wrong?
# Classification Tree with
I have created plots of rpart objects with the fancy option for text.rpart
(fancy creates ellipses and rectangles and labels branches with splitting
criteria). The ellipses and rectangles are supposed to interrupt the tree
lines (as seen in Therneau and Atkinson 1997, page 48, Fig. 18,
I've been using the sm.denstiy.compare function and would like to know some
specifics:
a) What kind of bootstrap sampling is used, with or without replacement?
b) A p-value is returned after running the following script (for example):
library(sm)
y - rnorm(100)
g - rep(1:2, rep(50,2))
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