chosing function in drc package

General
1

Hi everyone,

I have performed a dose-response test with a herbicide and now I want to create a dose-response curve. Therefore, I am using the drc package, but when I am making a model, I want to know which function I need to use, and what the difference are between the function LL.2, LL.3, LL.4, and LL.5. Below is the data that I am using for the analysis.

dose Herbicide Replicate Plants_maize Plants_LOLRI Total_biomass_maize Total_biomass_LOLRI Mean_biomass_maize Mean_biomass_LOLRI
0 metolachlor A 14 65 1,2 1,69 0,085714286 0,026
0 metolachlor B 15 61 1,32 2,06 0,088 0,033770492
0 metolachlor C 14 53 0,97 1,25 0,069285714 0,023584906
0 metolachlor D 15 64 1,52 1,65 0,101333333 0,02578125
384 metolachlor A 15 60 1,26 0,85 0,084 0,014166667
384 metolachlor B 14 73 1,02 1,48 0,072857143 0,020273973
384 metolachlor C 14 82 1,1 1,84 0,078571429 0,022439024
384 metolachlor D 15 66 1,05 1,36 0,07 0,020606061
768 metolachlor A 15 67 1,29 0,82 0,086 0,012238806
768 metolachlor B 14 56 1,1 0,8 0,078571429 0,014285714
768 metolachlor C 14 61 1,21 1,32 0,086428571 0,021639344
768 metolachlor D 15 65 1,52 1,19 0,101333333 0,018307692
1152 metolachlor A 14 66 0,85 0,79 0,060714286 0,011969697
1152 metolachlor B 13 60 1,02 0,74 0,078461538 0,012333333
1152 metolachlor C 14 63 1,25 0,88 0,089285714 0,013968254
1152 metolachlor D 15 72 0,98 1,08 0,065333333 0,015
1536 metolachlor A 15 62 1,57 0,7 0,104666667 0,011290323
1536 metolachlor B 10 58 0,81 0,71 0,081 0,012241379
1536 metolachlor C 11 57 0,86 0,78 0,078181818 0,013684211
1536 metolachlor D 15 62 1,98 0,87 0,132 0,014032258
1920 metolachlor A 13 69 0,97 0,66 0,074615385 0,009565217
1920 metolachlor B 14 61 1,02 0,65 0,072857143 0,010655738
1920 metolachlor C 15 64 1,83 0,67 0,122 0,01046875
1920 metolachlor D 15 63 1,56 0,76 0,104 0,012063492
2304 metolachlor A 13 59 0,85 0,5 0,065384615 0,008474576
2304 metolachlor B 14 63 1,19 0,73 0,085 0,011587302
2304 metolachlor C 15 69 1,74 0,74 0,116 0,010724638
2304 metolachlor D 13 60 1,26 0,71 0,096923077 0,011833333
2688 metolachlor A 13 50 1,12 0,41 0,086153846 0,0082
2688 metolachlor B 13 56 1 0,47 0,076923077 0,008392857
2688 metolachlor C 12 58 0,63 0,68 0,0525 0,011724138
2688 metolachlor D 14 65 1,24 0,57 0,088571429 0,008769231
3072 metolachlor A 14 55 0,83 0,39 0,059285714 0,007090909
3072 metolachlor B 13 49 1,4 0,36 0,107692308 0,007346939
3072 metolachlor C 15 54 1,73 0,38 0,115333333 0,007037037
3072 metolachlor D 14 45 1,85 0,39 0,132142857 0,008666667
3456 metolachlor A 14 52 1,71 0,41 0,122142857 0,007884615
3456 metolachlor B 15 44 1,75 0,38 0,116666667 0,008636364
3456 metolachlor C 14 58 1,29 0,49 0,092142857 0,008448276
3456 metolachlor D 15 66 1,77 0,58 0,118 0,008787879

Thanks in advance!
Gijs

2

First step must be to look them up in the documentation
drc: Analysis of Dose-Response Curves (r-project.org)

1 Like
3

Thank you for your reply.

I looked into it, and with the help of 11 Dose-Response curves | Statistical Analysis of Agricultural Experiments using R I found the right solution. I made a model for all functions separately, and then I used AIC() to find the model with the lowest AIC.

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