[R] vlookup in R?

[Joshua Wiley]

Hello,

I'm trying to figure out exactly what you want.  You have data with
three columns (cdf, seq, and rand).  You want to take a number in
column "rand", find the closest match to it in "cdf" and return the
value of "seq" for the same row as the closest match in "cdf"?  Since
you did not fix (i.e., use the $ in the Excel formula) the G2 and 2 in
your formula, should we assume that you would also like to do this for
the entire "rand" column (as in Excel by 'dragging' the formula down a
column)?

Josh

On Thu, May 27, 2010 at 6:20 PM, Roslina Zakaria <zroslina at yahoo.com> wrote:
> Hi R-users,
>
> I would like to search for the values of seq that match my rand values.  In excel I will use =VLOOKUP(G2,$E$2:$F$32,2).  For example, for rand=.262 it will give me approximately seq=120 and rand=0.964293344, seq=460 and etc.
>
> E           F     G
> cdf         seq   rand
> 0.00E+00    0     0.262123478
> 1.56E-03    20    0.964293344
> 1.55E-02    40    0.494827113
> 5.30E-02    60    0.733726005
> 1.16E-01    80    0.800408948
> 1.97E-01    100   0.925748466
> 2.88E-01    120   0.047578356
> 3.80E-01    140   0.266060366
> 4.68E-01    160   0.125522629
> 5.48E-01    180   0.701193274
> 6.18E-01    200   0.915799432
> 6.79E-01    220   0.735984375
> 7.32E-01    240   0.517838069
> 7.76E-01    260   0.042085025
> 8.13E-01    280   0.568346202
> 8.44E-01    300   0.067140721
> 8.70E-01    320   0.71437727
> 8.92E-01    340   0.712210456
> 9.10E-01    360   0.288460952
> 9.26E-01    380   0.185857723
> 9.38E-01    400   0.108859523
> 9.49E-01    420   0.513351848
> 9.57E-01    440   0.22214423
> 9.65E-01    460   0.500350963
> 9.71E-01    480   0.437818537
> 9.76E-01    500   0.851771599
> 9.80E-01    520   0.803521836
> 9.83E-01    540   0.249824519
> 9.86E-01    560   0.859248634
> 9.88E-01    580   0.126926481
> 9.90E-01    600   0.713431196
>                   0.253425703
>                   0.830195013
>                   0.723929563
>                   0.027588733
>                   0.091067232
>                   0.689504685
>                   0.890469069
>                   0.710440382
> Thank you so much for your help.
>
>
>
>
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-- 
Joshua Wiley
Senior in Psychology
University of California, Riverside
http://www.joshuawiley.com/