John,
The order of legends in ggplot2 depends on the order of factor levels in the
data frame. The linetype can be matched to the factor levels using a named
vector (ggplot2 basically does a lookup).
The biggest problem you have here is that you’re not passing data in the right
form or format
setInternet2() first thing after launching R might fix that.
> On May 12, 2016, at 07:45, Alba Pompeo wrote:
>
> Hello.
>
> I've tried to run R, but I receive many warnings and can't do simple
> stuff such as installing packages.
>
> Here's the full log when I run it.
>
> http://pastebin.com
d then annotate a label for the line to the right of the plot).
This implementation might not be the most elegant or bug-free, but it has
passed my testing so far.
The code is available on Github at https://github.com/tomhopper/gcc_ggplot/
Best Regards,
Tom Hopper
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Hello,
(Apologies for the repost, but it appears that the original text was
garbled.)
I have recently discovered the modeest library, and am trying to understand
how to use it with non-numeric data (e.g. determining the most common last
name, or analysing customer demographics by zip code).
I ha
Hello,
I have recently discovered the modeest library, and am trying to understand
how to use it with non-numeric data (e.g. determining the most common last
name, or analysing customer demographics âby zip code).
I have the mlv() function working for numeric (double and integer) data,
but it t
Thank you, Duncan. Building an installer package from source might work.
On Friday, March 2, 2012, Duncan Murdoch wrote:
> On 12-03-02 5:32 AM, Tom Hopper wrote:
>
> See the Installation and Administration manual, in particular the section
(3.1.8, I think) on building the Inno Setup
imple step that the users don't have to worry about screwing up.
I recall that there has been some discussion of this on r-help in the past,
but I seem to be using the wrong search terms as I cannot find anything.
Any suggestions for, or pointers to, solutions will be much apprec
Tal,
One interactive capability that I have repeatedly wished for (but
never taken the time to develop with the existing R tools) is the
ability to interactively zoom in on and out of a data set, and to
interactively create "call-outs of sections of the data. Much of the
data that I deal with take
I have been having the same problem as poster Hodgess, below. It appears
that her question was never answered, so I would like to share a solution
with the community.
The problem is the (apparent?) inability to produce moving range process
behavior (a.k.a. "control") charts with individuals data i
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