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POWhich is the best method to apply a script repetitively to n .csv files in R?
 

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  1. POWhich is the best method to apply a script repetitively to n .csv files in R?
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    <p><strong>My situation</strong>:</p> <ol> <li>I have a number of csv files all with the same suffix pre .csv, but the first two characters of the file name are different (ie AA01.csv, AB01.csv, AC01.csv etc)</li> <li>I have an R script which I would like to run on each file. This file essentially extracts the data from the .csv and assigns them to vectors / converts them into timeseries objects. (For example, AA01 xts timeseries object, AB01 xts object)</li> </ol> <p><strong>What I would like to achieve</strong>:</p> <ol> <li>Embed the script within a larger loop (or as appropriate) to sequentially run over each file and apply the script</li> <li>Remove the intermediate objects created (see code snippet below)</li> <li>Leave me with the final xts objects created from each raw data file (ie AA01 to AC01 etc as Values / Vectors etc)</li> </ol> <p>What would be the right way to embed this script in R? Sorry, but I am a programming noob! </p> <p>My script code below...heading of each column in each CSV is DATE, TIME, VALUE</p> <pre><code> # Pull in Data from the FileSystem and attach it AA01raw&lt;-read.csv("AA01.csv") attach(AA01raw) #format the data for timeseries work cdt&lt;-as.character(Date) ctm&lt;-as.character(Time) tfrm&lt;-timeDate(paste(cdt,ctm),format ="%Y/%m/%d %H:%M:%S") val&lt;-as.matrix(Value) aa01tsobj&lt;-timeSeries(val,tfrm) #convert the timeSeries object to an xts Object aa01xtsobj&lt;-as.xts(tsobj) #remove all the intermediate objects to leave the final xts object rm(cdt) rm(ctm) rm(aa01tsobj) rm(tfrm) gc() </code></pre> <p>and then repeat on each .csv file til all xts objects are extracted.</p> <p>ie, what we would end up within R, ready for further applications are:</p> <pre><code>aa01xtsobj, ab01xtsobj, ac01xtsobj....etc </code></pre> <p>any help on how to do this would be very much appreciated.</p>
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    1. USJoshua Ulrich
    1. USn.e.w
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    1. COwhat package is `timeSeries` in? You should include this information in the question. Ideally include minimal, reproducible code.
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    2. COtimeSeries is in the package of the same name. apologies.
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