[R] Multiple IF statements - is there a better alternative?
Suresh Krishna
ssk2031 at columbia.edu
Thu May 12 06:01:41 CEST 2005
oops, i meant something more like:
TestValues <- c(0,1,2,4,9) #should be in increasing order
TestResults <- c(.95, .85, .7, NaN,0)
if (InternalMean==0) IntResult=1 else
IntResult=TestResults[TestValues==max(TestValues[TestValues<=InternalMean])]
-s.
Suresh Krishna wrote:
>
> are you looking for something like:
>
> InternalMean <- mean(data1[,3])
>
> TestValues <- c(0,1,2,4,9) #should be in increasing order
> TestResults <- c(.95, .85, .7, NaN,0)
>
> if (InternalMean==0) IntResult=1 else
> IntResult=TestResults[which(TestValues==max(TestValues[TestValues<InternalMean]))]
>
>
> -s.
>
> Jones, Glen R wrote:
>
>> Hello,
>>
>> Rather than rely on a set of IF statements (as there could be many -
>> please see below)), could the following be done in a different/better
>> way?
>>
>> InternalMean <- mean(data1[,3])
>>
>> if (InternalMean == 0)
>> Intresult = 1
>> if (InternalMean > 0 & InternalMean < 1)
>> Intresult = .95
>> if (InternalMean >= 1 & InternalMean < 2)
>> Intresult = .85
>> if (InternalMean >= 2 & InternalMean < 4)
>> Intresult = .70
>> ...
>> if (InternalMean >= 9)
>> Intresult = .0
>>
>> Thanks in advance
>>
>>
>> Glen Jones
>> Value Analyst
>> Industry Framework Governance
>> Telstra Corporation Limited
>>
>>> Tel: (03) 9634 7280
>>
>>
>> email: glen.jones at team.telstra.com
>>
>>
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