Hi Manuel

Without a little more information about how you calculated PET it is hard to 
know for sure how to help. But I would take a close look at the PET object as a 
next step to make sure there are no NA values in there. 

Which package and version are you using for spei() function?

You can see how my collaborators and I did this at 
https://datadryad.org/stash/dataset/doi:10.5061/dryad.f2mp4


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On 1/27/20, 10:41 AM, "R-sig-ecology on behalf of Manuel Esteban Lucas Borja" 
<r-sig-ecology-boun...@r-project.org on behalf of manuelesteban.lu...@uclm.es> 
wrote:

    Dear all, 
    
    I am trying to calculate SPEI index using Rstudio (please see data used 
below this email). First I calculated PET (latitude 40,29), and then I failed 
when asking for SPEI index: 
    
     spei(SPEI$PREC-PET,1). 
    
    The only result I got is NA. 
    
    Any idea about what´s wrong? 
    
    Thanks for helping and for your time, 
    
    Manuel 
    
    Year        Month   TMED    PREC    
    2010        1       0.9     59.8    
    2010        2       1.43    66.7    
    2010        3       3.3     35      
    2010        4       7.9     23.5    
    2010        5       9.58    22.9    
    2010        6       14.3    23.1    
    2010        7       20.6    0.5     
    2010        8       18.95   7.6     
    2010        9       13.94   25.6    
    2010        10      8.29    60      
    2010        11      3.14    71.2    
    2010        12      2.05    95.8    
    2011        1       1.5     35      
    2011        2       2.8     66      
    2011        3       4.8     59.8    
    2011        4       10.1    68.6    
    2011        5       12.7    24      
    2011        6       16.7    18.2    
    2011        7       18.2    12      
    2011        8       19.9    10.6    
    2011        9       15.8    1.7     
    2011        10      10.9    8.6     
    2011        11      5.9     78.6    
    2011        12      2.7     18.5    
    2012        1       1.86    10.3    
    2012        2       -0.89   4.2     
    2012        3       4.9     4.5     
    2012        4       5.4     119.8   
    2012        5       12.8    7.7     
    2012        6       17.6    21.7    
    2012        7       19.6    1.8     
    2012        8       20.8    1.6     
    2012        9       14.7    49.5    
    2012        10      9.64    61      
    2012        11      5.55    95.5    
    2012        12      1       46      
                                
                                
                                
                                
                                
                                
                                
                                
                                
                                
                                
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