R version 3.1.1 (2014-07-10) -- "Sock it to Me"
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> library(drfit)
> data(pyrithione)
> rpyr <- drfit(pyrithione,linlogit=TRUE,linlogitWrong=c("MSPT","MSPHI","PyS"))
Na Pyrithion: Fitting data...
Waiting for profiling to be done...
Pyridin: Fitting data...
PyNO: Fitting data...
Error in nls(response ~ linlogitf(dose, 1, f, logED50, b), data = tmp, :
Convergence failure: false convergence (8)
(PT)2: Fitting data...
Waiting for profiling to be done...
MSO2P: Fitting data...
MSPHI: Fitting data...
Waiting for profiling to be done...
PyS: Fitting data...
Waiting for profiling to be done...
Error in numericDeriv(form[[3L]], names(ind), env, ifelse(internalPars < :
Missing value or an infinity produced when evaluating the model
In addition: Warning message:
In pnorm(-log10(dose), -logED50, scale) : NaNs produced
Zn Pyrithion: Fitting data...
Waiting for profiling to be done...
Cu Pyrithion: Fitting data...
Waiting for profiling to be done...
Fe Pyrithion: Fitting data...
Waiting for profiling to be done...
MSPT: Fitting data...
Waiting for profiling to be done...
TBT: Fitting data...
Waiting for profiling to be done...
NaJ: Fitting data...
> print(rpyr,digits=2)
Substance ndl n lld lhd mtype logED50 2.5% 97.5% unit sigma
1 Na Pyrithion 20 108 -2.11 2.0 linlogit -0.35 -0.43 -0.26 microM 0.21
2 Pyridin 19 161 0.59 3.7 inactive NA NA NA microM NA
3 PyNO 19 81 0.59 3.7 no fit NA NA NA microM 0.11
4 (PT)2 19 81 -2.41 2.0 linlogit -0.42 -0.53 NA microM 0.21
5 MSO2P 28 108 -1.71 3.7 inactive NA NA NA microM NA
6 MSPHI 19 81 0.59 3.7 probit 3.66 3.55 3.88 microM 0.13
7 PyS 18 80 -0.41 3.0 probit 2.68 NA NA microM 0.13
8 Zn Pyrithion 27 81 -2.11 2.0 linlogit -0.41 -0.53 -0.30 microM 0.23
9 Cu Pyrithion 19 79 -2.41 2.0 linlogit -0.31 -0.48 -0.15 microM 0.24
10 Fe Pyrithion 19 81 -2.41 2.0 linlogit -0.35 -0.50 -0.21 microM 0.23
11 MSPT 18 108 -0.41 3.0 probit 2.14 2.07 2.21 microM 0.23
12 TBT 38 135 -2.71 2.4 linlogit -0.16 -0.26 -0.05 microM 0.19
13 NaJ 10 108 0.59 3.3 inactive NA NA NA microM NA
a b c
1 -0.35 2.12 -0.267
2 NA NA NA
3 NA NA NA
4 -0.42 1.85 -0.515
5 NA NA NA
6 3.66 0.44 NA
7 2.68 0.13 NA
8 -0.41 1.74 0.611
9 -0.31 1.02 -0.049
10 -0.35 1.18 0.025
11 2.14 0.21 NA
12 -0.16 1.04 -0.024
13 NA NA NA
>
> proc.time()
user system elapsed
2.302 1.804 1.550
