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...the calculation. Learn how to "extract" specified elements from a data structure: # first value sum(dataset1$NPP[dataset1$date >= date1 & dataset1$date <= date2]) # second value dataset2$biomass[dataset2$date == date2] - dataset2$biomass[dataset2$date == date1] # third value dataset3$littfall[dataset3$date == date2] Note that you may have to convert character strings to dates to do the above - see a function like "as.Date". Obviously I do not know the actual names of your datasets and I am assuming that the variable names you have given are the actual ones. Jim On...

Hi R users, I need your help to write a code in r that does the following calculation from three different datasets; ac = 1/sum (NPP from date 1 to date 2, dataset=1) * (biomass at date 2 -biomass at date 1, dataset = 2) + (littfall at date 2, dataset=3). all the dates are in yr-month-day format. Which library or function Should I use to tell R do these calculations of these variables at

...I have a few data sets that have this sort of format dataset1 ID DATA 1234 value 2345 value 3456 value dataset2 ID DATA 1111 value 2345 value 3333 value What i really want to do is write an R script that says "if the ID of dataset1 and 2 match (2nd row), print out that whole row into a new dataset3". No idea how to do that though. Normally I would just write out the files to a txt file then write a perl script that would do just that. However these files are HUGE and perl will take forever to do this!! I'm hoping theres a quicker solution in R... Any help appreciated -- View this...

...nd many other data situations, the statistical programmer needs to merge and re-merge multiple input files countless times. A syntax for merging files that is clear and concise is very important for the statistical programmer's productivity. Here is how Vilno does it: inlist dataset1 dataset2 dataset3 ; joinby variable1 variable2 where ( var3<=var4 ) ; Each column in a dataset has a variable name ( variable1, variable2, var3, var4 ). You are merging three input datafiles: dataset1, dataset2, and dataset3. The joinby statement asks for a many-to-many join, rather like the SQL SELECT statemen...

Hello I am writing an article demonstrating how quantile plots work. In one figure, I generate 3 sets of normal data, and add different sorts of outliers to each. I then make 9 qqnorm plots, in a 3x3 array: Outlier1 Outler2 Outlier3 Dataset1 Dataset2 Dataset3 which I did using mfrow = c(3,3). I'd like to use the space on the page as efficiently as possible,so I made the margins small, but that leaves no space for axes. Is there a way to put axes only along the bottom and left side, so that a) The individual qqplots maintain their shape and b) le...

...variable for storename in next trip, storename in previous trip etc... and also # days between trips to each store for each customer...(an example for Butter dataframe with new derived variables would be...) Dataset needs to be sorted by CustID, TripDate, Store before creating derived variables (dataset3)Book1.xlsx CustID TripDate Store Butter NextTripstore previoustripstore daysbetweentrips 1 6-Jan-12 c 3 a - - 1 9-Jan-12 a 3 - c - 2 31-Aug-12 a 3 a - - 2 24-Sep-12 a 3 - a 24 Point of creating multiple item...

The subject of your email is missing. Perhaps you need to read the Posting Guide (again?) about attachments. Embedding your example directly in the body of the email is generally more accessible in archives than attaching it. -- Sent from my phone. Please excuse my brevity. On April 27, 2016 1:14:17 PM GMT+01:00, G.Maubach at gmx.de wrote: >Hi All, > >I am addressing this post to all

Hi All, I am addressing this post to all who are new to R. When learing R in the last weeks I took some notes for myself to have code snippets ready for the data analysis process. I put these snippets together as a script template for future use. Almost all of the given command prototypes are tested. The template script contains snippets for best practices and leaves out the commands that