Displaying 5 results from an estimated 5 matches for "xochitl".
2013 Jun 04
1
High volume plot using log(local density)
Hi,
I am using the densCols to draw a high volume scatter plot. Instead of
using the default local density, I would like to take log of the local
density and then map them to the colors. I could not figure out how to do
that.
For example:
plot(x,y,col=densCols(x,y,"log")) ?
Any help would be appreciated!
Jiaxiu
[[alternative HTML version deleted]]
2013 Feb 27
1
Separation issue in binary response models - glm, brglm, logistf
...packages.
I hope this make sense enough and I am sorry if this is kind of
statistical evidence that I'm not aware of.
It is my first time asking a question so I apologize if it's not like it
should be and kindly ask you to not hesitate to let me know about it.
Thank you for your help
Xochitl C.
-----------------------------------------------------------------------
Here an extract of my table and the different formula I run :
> head (CPUE_table)
Year Quarter Subarea Latitude Longitude Presence.S CPUE.S Presence.H
CPUE.H Presence.NP CPUE.NP Presence.BW CPUE.BW Presence.C CPUE...
2013 Aug 26
3
Naming columns
Hi ,
I just imported a large data set from notepad. I want to label the columns
in R.
I used 'import Dataset' to bring in my data set
Now, I would like to label V1,V2,V3 etc??
Thanks
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2013 Aug 26
4
transform variables
Dear all!
I have a data frame composed by 13 columns (year, and 12 months). I want to
transform this data base in another like this
year month values
1901 1
1901 2
1901 3
.....
1901 12
1902 1
1902 2
....
1902 12
Is there a possibility to succeed that in R?
Thank you!
best regards!
CR
--
---
Catalin-Constantin ROIBU
Lecturer PhD, Forestry engineer
Forestry Faculty of Suceava
Str.
2012 Mar 03
1
Problem running stepAIC within a function.
Hi
I need to a function that automatically fits a regression to data, using the
stepAIC. I've ran the code manually and it works fine. However, when I run
the function on the same data, the following error occurs:
Problem in regimp(fullsim = simt, fullsim1 = simt1,..: Length of (weights)
(variable 4) is 4271 != length of others (4278)
I got the function to output the length of the dataset