I'm not sure what part of the process is giving you trouble, but if you play
around with the "mar" part of the code, you get a lot of flexibility over
the margins. Also, if you pre-set the dimensions of the window the plot is
created in, you get even more control. E.g.
x11(width=9, height=6, po
Hi KZ,
I don't think that I can answer what I think is the precise question - how
to run the R file from VBA but without using RExcel.
However with RExcel installed, I have found it very straightforward to run R
code from within VBA (thanks Erich Neuwirth - RExcel is great). The VBA
code is:
R
See RExcel, http://rcom.univie.ac.at/ http://rcom.univie.ac.at/ and
especially the video demo http://rcom.univie.ac.at/RExcelDemo/
http://rcom.univie.ac.at/RExcelDemo/
Guy
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Thanks. I don't think I would ever have worked that twist out. It is
perfect.
Guy
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Thanks, balloonplot() is great and gets me really close to what I am after.
However it then brings me to a slightly different problem - I wonder if
anyone can suggest where I am going wrong?
Again with simplified data (
http://n4.nabble.com/file/n1890724/test-data.txt test-data.txt ):
Hello,
I am trying to create a graphic to help me visualise data. A (very
simplified) sample of the data is
http://n4.nabble.com/file/n1839676/circle_data.txt circle_data.txt :
Aug-07 Nov-07 Feb-08
data1 1 1.5 -1
data2 1
to make the labels useable
again? Sample data is reattached
http://n4.nabble.com/file/n1585427/Sample_table.txt Sample_table.txt .
Thanks,
Guy
Peter Ehlers wrote:
>
> On 2010-03-08 8:47, Guy Green wrote:
>>
>> Hello,
>> I have a set of data with two columns: "
Hello,
I have a set of data with two columns: "Target" and "Actual". A
http://n4.nabble.com/file/n1584647/Sample_table.txt Sample_table.txt is
attached but the data looks like this:
Actual Target
-0.125 0.016124906
0.135 0.120799865
... ...
... ...
I want t
I wonder if someone can give some pointers on alternatives to linear
regression (e.g. Loess) when dealing with multiple variables.
Taking any simple table with three variables, you can very easily get the
intercept and coefficients with:
summary(lm(read_table))
For obvious reasons, the c
I had a similar problem. In my case, I had a large table of data and wanted
to find and exclude a single huge value in one column (i.e. remove the
entire row). There were thousands of rows of data, and this single value
was more than 3x the next value, and at least 30x the typical value. I
want
I have a simple table of data:
ResultVar1Var2Var3
1 0.100.780.120.38
2 0.200.660.390.12
3 0.100.830.090.52
4 0.150.410.630.95
5 0.600.880.910.86
6 -0.020.140.690.94
I am trying to achieve two things:
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