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R version 3.1.1 (2014-07-10) -- "Sock it to Me"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(drfit)
> data(IM1xVibrio)
> rIM1xVibrio <- drfit(IM1xVibrio)

IM13 BF4: Fitting data...

Waiting for profiling to be done...

IM14 BF4: Fitting data...

Waiting for profiling to be done...

IM15 BF4: Fitting data...

Waiting for profiling to be done...

IM16 BF4: Fitting data...

Waiting for profiling to be done...

IM17 BF4: Fitting data...

Waiting for profiling to be done...

IM18 BF4: Fitting data...

Waiting for profiling to be done...

IM19 BF4: Fitting data...

Waiting for profiling to be done...

IM1-10 BF4: Fitting data...

Waiting for profiling to be done...
> print(rIM1xVibrio,digits=4)
   Substance ndl  n    lld   lhd  mtype logED50    2.5%   97.5%   unit   sigma
1   IM13 BF4  13 22 -5.301 4.699 probit  3.9399  3.8636  4.0160 microM 0.06303
2   IM14 BF4  12 57 -4.301 4.699 probit  3.5442  3.5030  3.5855 microM 0.05905
3   IM15 BF4   7 20 -0.301 4.699 probit  3.1398  3.1136  3.1662 microM 0.02695
4   IM16 BF4  13 30 -4.301 4.699 probit  3.1804  3.1436  3.2176 microM 0.04514
5   IM17 BF4  10 20 -1.301 4.699 probit  2.4317  2.3681  2.4951 microM 0.04773
6   IM18 BF4  10 17 -2.301 2.699 probit  1.4015  1.3147  1.4881 microM 0.05611
7   IM19 BF4  13 22 -5.301 2.699 probit  0.7158  0.6704  0.7592 microM 0.02956
8 IM1-10 BF4  11 20 -6.301 2.699 probit -0.1790 -0.2569 -0.1037 microM 0.04099
        a      b
1  3.9399 0.5763
2  3.5442 0.6561
3  3.1398 0.5527
4  3.1804 0.4882
5  2.4317 0.6387
6  1.4015 0.8009
7  0.7158 0.6969
8 -0.1790 0.8019
> 
> proc.time()
   user  system elapsed 
  1.261   0.995   0.953 

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