Unable to get mselect (using DRC package) to work as intended
I think I'm missing something obvious but I cannot get mselect to work the way that I expect it too.
My data is in a list called GroupData but has columns of signal and conc - which is what I would like to plot and fit.
I'm able to fit it individually using drm just fine using the following code:
datafit <-drm (signal~conc, data=GroupData, fct= LL.3(), weights = weighters)
However, based on the r documentation it looks I should be able to do the following
mselect(datafit, list(LL.3(), LL.5(), W1.3(), W1.4(), W2.4(), baro5()), linreg = TRUE)
but the output I get is the following
logLik IC Lack of fit Res var
LL.3 -7.601717 23.20343 1 0.1863697
Quad -87.757770 183.51554 NA 4185.9275817
Cubic -87.638842 185.27768 NA 4467.8395506
Lin -94.244055 194.48811 NA 8744.3335908
LL.3 NA NA NA NA
LL.4 NA NA NA NA
LL.5 NA NA NA NA
My understanding from the documentation is that I should be able to compare a bunch of fits without having to use drm to individually fit them all first - but maybe I'm completely mistaken. What am I doing incorrectly?
thank you!
r curve-fitting
asked Nov 28 '18 at 23:19
user2017023user2017023
337
add a comment |
I think I'm missing something obvious but I cannot get mselect to work the way that I expect it too.
My data is in a list called GroupData but has columns of signal and conc - which is what I would like to plot and fit.
I'm able to fit it individually using drm just fine using the following code:
datafit <-drm (signal~conc, data=GroupData, fct= LL.3(), weights = weighters)
However, based on the r documentation it looks I should be able to do the following
mselect(datafit, list(LL.3(), LL.5(), W1.3(), W1.4(), W2.4(), baro5()), linreg = TRUE)
but the output I get is the following
logLik IC Lack of fit Res var
LL.3 -7.601717 23.20343 1 0.1863697
Quad -87.757770 183.51554 NA 4185.9275817
Cubic -87.638842 185.27768 NA 4467.8395506
Lin -94.244055 194.48811 NA 8744.3335908
LL.3 NA NA NA NA
LL.4 NA NA NA NA
LL.5 NA NA NA NA
My understanding from the documentation is that I should be able to compare a bunch of fits without having to use drm to individually fit them all first - but maybe I'm completely mistaken. What am I doing incorrectly?
thank you!
r curve-fitting
asked Nov 28 '18 at 23:19
user2017023user2017023
337
add a comment |
I think I'm missing something obvious but I cannot get mselect to work the way that I expect it too.
My data is in a list called GroupData but has columns of signal and conc - which is what I would like to plot and fit.
I'm able to fit it individually using drm just fine using the following code:
datafit <-drm (signal~conc, data=GroupData, fct= LL.3(), weights = weighters)
However, based on the r documentation it looks I should be able to do the following
mselect(datafit, list(LL.3(), LL.5(), W1.3(), W1.4(), W2.4(), baro5()), linreg = TRUE)
but the output I get is the following
logLik IC Lack of fit Res var
LL.3 -7.601717 23.20343 1 0.1863697
Quad -87.757770 183.51554 NA 4185.9275817
Cubic -87.638842 185.27768 NA 4467.8395506
Lin -94.244055 194.48811 NA 8744.3335908
LL.3 NA NA NA NA
LL.4 NA NA NA NA
LL.5 NA NA NA NA
My understanding from the documentation is that I should be able to compare a bunch of fits without having to use drm to individually fit them all first - but maybe I'm completely mistaken. What am I doing incorrectly?
thank you!
r curve-fitting
asked Nov 28 '18 at 23:19
user2017023user2017023
337
I think I'm missing something obvious but I cannot get mselect to work the way that I expect it too.
My data is in a list called GroupData but has columns of signal and conc - which is what I would like to plot and fit.
I'm able to fit it individually using drm just fine using the following code:
datafit <-drm (signal~conc, data=GroupData, fct= LL.3(), weights = weighters)
However, based on the r documentation it looks I should be able to do the following
mselect(datafit, list(LL.3(), LL.5(), W1.3(), W1.4(), W2.4(), baro5()), linreg = TRUE)
but the output I get is the following
logLik IC Lack of fit Res var
LL.3 -7.601717 23.20343 1 0.1863697
Quad -87.757770 183.51554 NA 4185.9275817
Cubic -87.638842 185.27768 NA 4467.8395506
Lin -94.244055 194.48811 NA 8744.3335908
LL.3 NA NA NA NA
LL.4 NA NA NA NA
LL.5 NA NA NA NA
My understanding from the documentation is that I should be able to compare a bunch of fits without having to use drm to individually fit them all first - but maybe I'm completely mistaken. What am I doing incorrectly?
thank you!
r curve-fitting
r curve-fitting
asked Nov 28 '18 at 23:19
user2017023user2017023
337
asked Nov 28 '18 at 23:19
user2017023user2017023
337
asked Nov 28 '18 at 23:19
user2017023user2017023
337
asked Nov 28 '18 at 23:19
user2017023user2017023
337
asked Nov 28 '18 at 23:19
user2017023user2017023
337
337
add a comment |
add a comment |
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