Hi<br>I am Waqar Younas, PhD student at UNBC, Canada. I was selected in
2010 summer colloquium but i could not come due to visa problems. Right
now i am using R. I learn about the basic data handling in R. I want to
use R verification package. I have my daily data of obs and prediction
in this format. The obs data has dimension of 120, 396 where 120 is the
lead time and 396 is the total initial time. Whereas the prediction data
has the dimension of 120, 396, 10 where first two dimensions are same
as obs data dimension and the third dimension is of ensemble member. Also i already removed daily climatology mean from my data. To
get probabilistic skill, i need to change my obs data into binary data
set and prediction data in probabilities. For that i need to use the
verify function of verification package in R (I think my understanding is right). But when i apply this
function, it gives some error as <br>
<br><b>If baseline is not included, baseline values will be calculated from the sample obs. <br>Error in e1[[1L]] : subscript out of bounds<br>In addition: Warning messages:<br>1: In is.finite(obs) & is.finite(pred) :<br>
longer object length is not a multiple of shorter object length<br>2: In max(pred) : no non-missing arguments to max; returning -Inf<br>3: In min(pred) : no non-missing arguments to min; returning Inf<br></b><br>I do not know how to solve this function. Can anyone help me in this regard?<br>
<br clear="all"><br>-- <br>Best Regards<br><br>Waqar Younas<br><div>PhD Candidate<br></div><div>Natural Resources and Environmental Studies (NRES) </div><div>University of Northern British Columbia (UNBC)</div><div>Canada</div>
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