Dear Don and all,

I’ve read the tutorial and tried several codes before posting :)
I’m really naive.



what I was trying to :  is something like the graph in the picture I drawee.




Is it more clear now? 

Atenciosamente,
Rosa Oliveira

-- 
____________________________________________________________________________


Rosa Celeste dos Santos Oliveira, 

E-mail: rosit...@gmail.com <mailto:rosit...@gmail.com>
Tlm: +351 939355143 
Linkedin: https://pt.linkedin.com/in/rosacsoliveira 
<https://pt.linkedin.com/in/rosacsoliveira>
____________________________________________________________________________
"Many admire, few know"
Hippocrates

> On 09 Jun 2015, at 19:23, Don McKenzie <d...@u.washington.edu 
> <mailto:d...@u.washington.edu>> wrote:
> 
> The answer lies in learning to use the help (and knowing where to start).  
> Did you look at the tutorial that comes with the R installation?
> 
> ?plot
> ?lines
> 
> ?par   
> 
> In the last, look for the descriptions of “col” and “lty”.
> 
> Using plot() and lines(), and subsetting the four unique values of “sample”, 
> you can create your lines.
> 
> Here is a crude start, assuming your columns are part of a data frame called 
> “my.data”.   Untested...
> 
> plot(my.data$region[my.data$sample==10],my.data$factora[my.data$sample==10],col=4)
>      # blue line, not dashed
> .
> .
> .
> lines(my.data$region[my.data$sample==20],my.data$factorb[my.data$sample==20],col=2,lty=2)
>    # red dashed line
> 
> 
>> On Jun 9, 2015, at 10:36 AM, Rosa Oliveira <rosit...@gmail.com 
>> <mailto:rosit...@gmail.com>> wrote:
>> 
>> Hi,
>> 
>> another naive question (i’m pretty sure :( )
>> 
>> 
>> I’m trying to plot a multiple line graph:
>> 
>>         region              sample          factora          factorb        
>> factorc
>> 0.1  10      0.895   0.903   0.378
>> 0.2  10      0.811   0.865   0.688
>> 0.1  20      0.735   0.966   0.611
>> 0.2  20      0.777   0.732   0.653
>> 0.1  30      0.600   0.778   0.694
>> 0.2  30      0.466   174.592 0.461
>> 0.1  40      0.446   0.432   0.693
>> 0.2  40      0.392   0.294   0.686
>> 
>> 
>> 
>> The first column should be the independent variable, the second should 
>> compute a bold line for sample(10) and dash line for sample 20.
> 
> What about the other two values of “sample”?  
> 
>> The others variables are outcomes for each of the first scenarios, and so it 
>> should: the 3rd, 4th and 5th columns should be blue, red and green 
>> respectively. 
>> 
>> 
>> Resume :)
>> 
>> I should have a graph, in the x-axe should have the region and in the y axe, 
>> the factor.
>> Lines:
>>      1 - blue and bold for region 0.1, sample 10 and factor a
>>      2 - blue and dash for region 0.2, sample 10 and factor a
>>      3 - red and bold for region 0.1, sample 10 and factor b
>>      4 - red and dash for region 0.2, sample 10 and factor b
>>      5 - green and bold for region 0.1, sample 10 and factor c
>>      6 - green and dash for region 0.2, sample 10 and factor c
> 
> Not consistent with what you said above. These are no longer lines, but 
> points.
>> 
>> nonetheless the independent variable is nominal, I should plot a line graph.
>> 
>> Can anyone help me please?
>> I have my file as a cvs file, so I first read that file (that I know how to 
>> do :)).
>> 
>> But I have it in that format.
>> 
>> Best,
>> RO
>> 
>> 
>> 
>> Atenciosamente,
>> Rosa Oliveira
>> 
>> -- 
>> ____________________________________________________________________________
>> 
>> 
>> Rosa Celeste dos Santos Oliveira, 
>> 
>> E-mail: rosit...@gmail.com <mailto:rosit...@gmail.com>
>> Tlm: +351 939355143 
>> Linkedin: https://pt.linkedin.com/in/rosacsoliveira 
>> <https://pt.linkedin.com/in/rosacsoliveira>
>> ____________________________________________________________________________
>> "Many admire, few know"
>> Hippocrates
>> 
>> 
>>      [[alternative HTML version deleted]]
>> 
>> ______________________________________________
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>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html 
>> <http://www.r-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
> 
> <PastedGraphic-1.tiff>
> 

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