The advice to use require is incorrect.
The only time you should use require is if you are testing the return value
from the require function AND you have a plan of what to do if the package is
not available. 99% of the time raising an exception when the package is
missing is the correct behavior, so calling the library function is the correct
approach.
Note that calling the require function without inspecting the return value is
always wrong usage.
--
Sent from my phone. Please excuse my brevity.
On August 18, 2017 8:31:57 PM PDT, Hasan Diwan <hasan.di...@gmail.com> wrote:
>[answers inline]
>
>On 18 August 2017 at 20:08, Dagmar <ramga...@gmx.net> wrote:
>>
>> myframe<- data.frame (ID=c("Ernie", "Ernie","Ernie","Ernie"),
>> Timestamp=c("24.09.2012 08:00", "24.09.2012 09:00", "24.09.2012
>10:00",
>> "25.09.2012 10:00"), Longitude=c("8.481","8.482","8.483","8.481"),
>> Latitude=c("54.753","54.753","54.752","54.751")
>> )
>> myframe
>>
>> # Now this is where my loop is supposed to start. In this example I
>want
>> to run the following functions 3 times. (In real life more often.)
>How do I
>> do that?
>>
>> library(adehabitatHR)
>> library(rgdal)
>>
>
>you should use require instead of library if this is a script, require
>returns boolean, whereas library raises an exception.
>
>mysample <- myframe[sample(1:nrow(myframe), 3,replace=FALSE),]
>> mysample
>> mysampletime <- as.POSIXct
>(strptime(as.character(mysample$Timestamp),
>> "%d.%m.%Y %H:%M"), tz="GMT")
>> mysamplexy <- project (cbind (mysample$Longitude, mysample$Latitude),
>> "+proj=utm +zone=32 +ellps=WGS84")
>> colnames(mysamplexy) <- c ("xCord", "yCord")
>> ID <- mysample$ID
>> datltraj <- as.ltraj(mysamplexy, mysampletime, id=ID)
>> Ddat <- BRB.D(datltraj, Tmax=21600, Lmin=36)
>> BRBdat <- BRB(datltraj, D= Ddat,type=c("UD"),Tmax=21600,Lmin=36,
>hmin=100)
>> kernel.area(BRBdat, unout=c("km2"))
>>
>> # unfortunately my data are not a very good example. Sorry about
>that. But
>> I guess you know what I mean.
>>
>> # Because I wish to run the functions three times I do want a data
>frame
>> (or matrix) in the end, which includes the results (kernel areas):
>That
>> means 12 columns and the three lines.
>>
>> # How do I do that?
>>
>
>Use the rep function, with times being 3? Best of luck -- H
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