Hi Alily,
Your image file didn't get through to the list. Try sending a PDF
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Jim
On Wed, Oct 26, 2016 at 8:46 PM, Indhira, Anusha
wrote:
> Hi,
>
> I am trying to understand graph generated by plot.svm command. when I use
> mod
Hi Julia,
The error you got is usually due to data that should be numeric (1, 2,
3, ...) actually being a factor data type. This often happens when R
reads in a CSV file with the default option of converting character
variables (A, B, C,...) to factors. So your first column after input
may be a fac
Julia:
1. I appreciate your honesty.
2. What follows is just my opinion. Feel free to ignore.
3. I think you are in a near impossible situation. R is a computer language
for statistics and data analysis: you need to know both the language and
statistics to use it properly. You know neither. So
Hi
I think your plots are not *quite* horizontally aligned (because of
differences in the lengths of y-axis labels). Here is a slight
modification that messes with the labels (but at least not manually) to
get things exact ...
valign_lattice <- function(x) {
if (inherits(x, "trellis"))
Hello All,
I’m Julia from Germany and I have a problem concerning the vegan package that I
can’t solve on my own (after hours and hours spent searching for a solution). I
was thrown into the topic of working with R by my professor and wasn’t really
aware that this included working with higher s
The organization of your data is not clear from your description. You say you
have species and samples and that the rows are the species, but the columns
(which should be the samples) are "zonation + land use". I'm guessing that you
mean the first column was zonation and land use and the remaini
Hi,
I am trying to understand graph generated by plot.svm command. when I use
model.svm <- svm(target.538 ~.,data = svm.data,type = "C-classification")
plot(model.svm,svm.data,T~P,xlab="",ylab = "")
I get attached graph.Can anyone let me know what red,bkack,green circle and
cross points represent
Hi,
The following encapsulates what I hoped for using Paul's method. The function
accepts one or more trellis class objects and aligns them vertically. I think
I have automated most of the manual fiddling. Depending upon your graphics
device you may need to fiddle with the aspect of the leve
Dear R-Users,
a new package, "pinbasic", is now available on CRAN. According to the
DESCRIPTION:
Utilities for fast and stable estimation of the probability of informed
trading (PIN) in the model introduced by Easley et al. (2002)
are implemented. Since the basic model
developed by Easle
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