Dose-Response Assay Compilation
Last updated: 2021-04-07
Checks: 6 1
Knit directory: toxin_dose_responses/
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.
The command set.seed(20210305) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.
Great job! Recording the operating system, R version, and package versions is critical for reproducibility.
Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.
Using absolute paths to the files within your workflowr project makes it difficult for you and others to run your code on a different machine. Change the absolute path(s) below to the suggested relative path(s) to make your code more reproducible.
| absolute | relative |
|---|---|
| ~/Documents/projects/toxin_dose_responses/ | . |
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version 0cc26e9. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:
Ignored files:
Ignored: .DS_Store
Ignored: .Rhistory
Ignored: analysis/.DS_Store
Ignored: analysis/figure/
Ignored: output/.DS_Store
Untracked files:
Untracked: code/toxin.geno.matrix.sh
Untracked: data/drugclasses.csv
Untracked: output/2,4-D_EC10.csv
Untracked: output/2,4-D_EC50.csv
Untracked: output/2,4-D_EC90.csv
Untracked: output/3model.heatmap.png
Untracked: output/4model.heatmap.png
Untracked: output/Aldicarb_EC10.csv
Untracked: output/Aldicarb_EC50.csv
Untracked: output/Aldicarb_EC90.csv
Untracked: output/Arsenic trioxide_EC10.csv
Untracked: output/Atrazine_EC10.csv
Untracked: output/Atrazine_EC50.csv
Untracked: output/Atrazine_MDHD.junk.png
Untracked: output/Cadmium dichloride_EC10.csv
Untracked: output/Cadmium dichloride_EC50.csv
Untracked: output/Cadmium dichloride_EC90.csv
Untracked: output/Cadmium dichloride_MDHD.junk.png
Untracked: output/Carbaryl_EC10.csv
Untracked: output/Carbaryl_EC50.csv
Untracked: output/Carbaryl_EC90.csv
Untracked: output/Carboxin_EC10.csv
Untracked: output/Carboxin_EC50.csv
Untracked: output/Carboxin_EC90.csv
Untracked: output/Chlorfenapyr_EC10.csv
Untracked: output/Chlorfenapyr_EC50.csv
Untracked: output/Chlorfenapyr_EC90.csv
Untracked: output/Chlorothalonil_EC10.csv
Untracked: output/Chlorothalonil_EC50.csv
Untracked: output/Chlorothalonil_EC90.csv
Untracked: output/Chlorpyrifos_EC10.csv
Untracked: output/Chlorpyrifos_EC50.csv
Untracked: output/Chlorpyrifos_EC90.csv
Untracked: output/Copper(II) chloride_EC10.csv
Untracked: output/Copper(II) chloride_EC50.csv
Untracked: output/Copper(II) chloride_EC90.csv
Untracked: output/Deltamethrin_EC10.csv
Untracked: output/Deltamethrin_EC50.csv
Untracked: output/Deltamethrin_EC90.csv
Untracked: output/EC10.strain.comp.png
Untracked: output/EC10.survey.png
Untracked: output/H2.plot.20210306.png
Untracked: output/H2.plot.20210308.png
Untracked: output/H2.plot.20210314.png
Untracked: output/Lead(II) nitrate_EC10.csv
Untracked: output/Malathion_EC10.csv
Untracked: output/Malathion_EC50.csv
Untracked: output/Malathion_EC90.csv
Untracked: output/Manganese dichloride_EC10.csv
Untracked: output/Manganese dichloride_EC50.csv
Untracked: output/Manganese dichloride_EC90.csv
Untracked: output/Methomyl_EC10.csv
Untracked: output/Methomyl_EC50.csv
Untracked: output/Methomyl_EC90.csv
Untracked: output/Methylmercury dichloride_EC10.csv
Untracked: output/Methylmercury dichloride_EC50.csv
Untracked: output/Methylmercury dichloride_EC90.csv
Untracked: output/Nickel dichloride_EC10.csv
Untracked: output/Nickel dichloride_EC50.csv
Untracked: output/Nickel dichloride_EC90.csv
Untracked: output/Paraquat_EC10.csv
Untracked: output/Paraquat_EC50.csv
Untracked: output/Paraquat_EC90.csv
Untracked: output/Propoxur_EC10.csv
Untracked: output/Propoxur_EC50.csv
Untracked: output/Propoxur_EC90.csv
Untracked: output/Pyraclostrobin_EC10.csv
Untracked: output/Pyraclostrobin_EC50.csv
Untracked: output/Pyraclostrobin_EC90.csv
Untracked: output/Pyraclostrobin_MDHD.junk.png
Untracked: output/Silver nitrate_EC10.csv
Untracked: output/Silver nitrate_EC50.csv
Untracked: output/Silver nitrate_EC90.csv
Untracked: output/Triphenyl phosphate_EC10.csv
Untracked: output/Triphenyl phosphate_EC50.csv
Untracked: output/Triphenyl phosphate_EC90.csv
Untracked: output/Triphenyl phosphate_MDHD.junk.png
Untracked: output/Zinc dichloride_EC10.csv
Untracked: output/Zinc dichloride_EC50.csv
Untracked: output/Zinc dichloride_EC90.csv
Untracked: output/carb.DRCs.png
Untracked: output/cv.control.wells.csv
Untracked: output/fungi.DRCs.png
Untracked: output/herb.DRCs.png
Untracked: output/manganese_toxin23_p57.png
Untracked: output/metal.DRCs.png
Untracked: output/organophosphate.DRCs.png
Untracked: output/toxicants.8strains.csv
Unstaged changes:
Modified: analysis/doseresponsemodels.Rmd
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were made to the R Markdown (analysis/toxin8strains.Rmd) and HTML (docs/toxin8strains.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.
| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 0cc26e9 | sam-widmayer | 2021-04-07 | require ggbeeswarm |
| Rmd | d4ed1ff | sam-widmayer | 2021-04-07 | tx-specific cleaning and plotting of DRCs |
| html | 19f2802 | sam-widmayer | 2021-03-29 | Build site. |
| Rmd | 3720d88 | sam-widmayer | 2021-03-29 | integrate toxin24A |
| Rmd | 736d501 | sam-widmayer | 2021-03-29 | integrate toxin24A |
| Rmd | ecf1af1 | sam-widmayer | 2021-03-29 | integrate toxin24A |
| html | 0e83f2b | sam-widmayer | 2021-03-24 | Build site. |
| Rmd | 7d105e2 | sam-widmayer | 2021-03-24 | progress meeting updates |
| html | 02a633e | sam-widmayer | 2021-03-24 | Build site. |
| Rmd | f2b09cd | sam-widmayer | 2021-03-23 | EC plot and DRC evaluation updates |
| Rmd | 07d524b | sam-widmayer | 2021-03-23 | EC plot and DRC evaluation updates |
| html | deb1df5 | sam-widmayer | 2021-03-21 | Build site. |
| Rmd | 32ad79a | sam-widmayer | 2021-03-21 | heatmap outputs |
| Rmd | 7ccc7de | sam-widmayer | 2021-03-21 | heatmap outputs |
| Rmd | 01b3361 | sam-widmayer | 2021-03-21 | heatmap outputs |
| Rmd | 7eb07f1 | sam-widmayer | 2021-03-21 | toxin23 updates and Worm_Length filter for MDHD data |
| html | 7ae886c | sam-widmayer | 2021-03-14 | Build site. |
| Rmd | 3f4a99b | sam-widmayer | 2021-03-14 | integrate toxin22 results |
| html | 212e0ae | sam-widmayer | 2021-03-08 | Build site. |
| html | cb6e132 | sam-widmayer | 2021-03-06 | Build site. |
| Rmd | 46c9647 | sam-widmayer | 2021-03-06 | static working directory |
| Rmd | 41bdaa0 | sam-widmayer | 2021-03-05 | dynamic working directory |
| Rmd | 0c9d312 | sam-widmayer | 2021-03-05 | initiate toxin DRC analysis repo |
Purpose:
- Compile past assay results.
- Provide dose-response curves for each toxin.
Analysis Date: April 07, 2021
Assay Summary
Metadata_Experiment bleach median cv.censor
1 toxin09A 1 0.3836145 0
2 toxin10A 1 0.4305145 0
3 toxin11A 1 0.4277093 0
4 toxin14A 1 0.3309190 0
5 toxin14A 2 0.6202207 1
6 toxin14A 3 0.3139512 0
7 toxin14B 1 0.3531075 0
8 toxin14B 2 0.6821373 1
9 toxin14B 3 0.4144394 0
10 toxin15A 1 0.3776043 0
11 toxin15A 2 0.3237794 0
12 toxin15A 3 0.5858180 1
13 toxin15B 1 0.3014705 0
14 toxin15B 2 0.3782805 0
15 toxin15B 3 0.5791055 1
16 toxin16A 1 0.3024091 0
17 toxin16A 2 0.6394078 1
18 toxin16A 3 0.6430524 1
19 toxin17A 1 0.3203867 0
20 toxin17A 2 0.5750981 1
21 toxin17A 3 0.3401813 0
22 toxin18A 1 0.3202607 0
23 toxin18A 2 0.3228881 0
24 toxin18A 3 0.3338709 0
25 toxin19A 1 0.3333869 0
26 toxin19A 2 0.3179010 0
27 toxin19A 3 0.3330344 0
28 toxin22A 1 0.2625332 0
29 toxin22A 2 0.2967801 0
30 toxin22A 3 0.2706957 0
31 toxin23A 1 0.3243216 0
32 toxin23A 2 0.3411546 0
33 toxin23A 3 0.2809086 0
34 toxin24A 1 0.2672445 0
35 toxin24A 2 0.3018825 0
36 toxin24A 3 0.3152494 0
37 toxin25A 1 0.3024884 0
38 toxin25A 2 0.2940015 0
39 toxin25A 3 0.3507315 0 Df Sum Sq Mean Sq F value Pr(>F)
assay 14 2.2442 0.16030 17.445 < 2e-16 ***
as.factor(bleach) 2 0.5740 0.28701 31.235 6.97e-13 ***
strain 7 0.1164 0.01663 1.810 0.0856 .
assay:as.factor(bleach) 22 1.9273 0.08760 9.534 < 2e-16 ***
Residuals 260 2.3891 0.00919
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Silver
Cadmium
Copper
Nickel
Paraquat
Zinc
Pyraclostrobin
Aldicarb
Chlorfenapyr
Methomyl
Methyl Mercury
Triphenyl phosphate
Arsenic trioxide
Carbaryl
Carboxin
Chlorpyrifos
[1] "Excluding toxin17A: No Response"
Lead (II) nitrate
%20nitrate-1.png)
%20nitrate-2.png)
Atrazine
[1] "Excluding toxin16A: Inaccurate Dilution Series"
2,4-D
Malathion
Deltamethrin
| Version | Author | Date |
|---|---|---|
| deb1df5 | sam-widmayer | 2021-03-21 |
Error in optim(startVec, opfct, hessian = TRUE, method = optMethod, control = list(maxit = maxIt, :
non-finite finite-difference value [3]
[1] "Unable to optimize model"
[1] "Unable to optimize model"
Mancozeb
EC Estimates
EC50
EC90
Summary Tables
Table: Aldicarb Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- ------------
ECA396 106.19±5.26 119.39±5.14 119.57±4.9
CB4856 116.25±6.36 130.8±6.3 131.19±6.01
ECA36 126.87±6.17 140.64±5.88 140.81±5.66
MY16 75.21±5.64 81.46±5.03 81.67±4.79
XZ1516 135.86±7.41 151.55±7.85 151.44±7.6
RC301 85.86±5.27 95.23±4.71 95.06±4.47
PD1074 93.82±4.98 105.8±4.46 106.36±4.24
ECA248 100.48±6.92 112.59±6.84 112.72±6.51
Table: Aldicarb Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -------------
ECA396 327.15±16.51 333.81±16.72 345.67±18.98
CB4856 356.74±13.9 351.65±15.96 352.61±16.21
ECA36 369.01±11.06 361.71±11.99 363.81±12.03
MY16 230.52±13.76 237.66±16.61 244.01±17.83
XZ1516 357.46±13.56 353.74±13.9 352.49±14.11
RC301 272.07±12.99 282.15±13.56 288.18±15.05
PD1074 275.54±9.11 272.47±8.39 271.38±8.35
ECA248 328.04±18.04 337.15±24.07 341.44±27.43
Table: Aldicarb Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- --------------- ---------------
ECA396 670.14±56.57 933.29±98.86 999.34±112
CB4856 728.94±44.97 945.42±91.73 947.75±90.13
ECA36 728.66±35.77 930.24±69.6 939.98±68.16
MY16 470.65±47.59 693.4±97.41 729.07±106.04
XZ1516 662.17±41.04 825.65±73.37 820.45±70.74
RC301 567.42±50.45 835.93±88.46 873.63±97.8
PD1074 547.47±34.62 701.69±48.32 692.39±46.14
ECA248 697.25±61.12 1009.58±148.13 1034.22±167.11
Table: Arsenic trioxide Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- ------------- --------------
PD1074 424.78±310.18 852.9±932.35 639.16±201.42
Table: Atrazine Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- --------------- --------------
ECA248 231.03±45.22 305.76±96.3 610.18±710.96
PD1074 323.78±159.61 430.95±237.65 NA
XZ1516 259.56±83.83 338.98±134.82 604.71±670.12
RC301 180.06±17.9 221.04±30.53 279.45±92.4
CB4856 302.15±214.96 452.74±379.63 NA
ECA36 551.13±889.49 832.27±1429.92 NA
ECA396 259.49±90.99 400.28±199.19 NA
Table: Atrazine Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- -------------- ----------
ECA248 740.46±247.7 NA NA
XZ1516 914.35±412.62 NA NA
RC301 603.8±106.15 824.22±223.15 NA
Table: Cadmium dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -----------
MY16 31.41±1.6 34.32±1.54 35.15±1.6
XZ1516 32.97±1.57 35.32±1.43 35.98±1.45
CB4856 22.84±1.41 25.31±1.37 25.53±1.33
RC301 28.57±1.54 31.69±1.61 32.62±1.72
PD1074 26.41±1.51 29.47±1.53 30.17±1.55
ECA248 24.23±1.68 27.37±1.82 28.15±1.83
ECA36 30.36±2.19 32.93±2.02 33.46±2.01
ECA396 34.44±1.54 36.87±1.37 37.58±1.36
Table: Cadmium dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -----------
MY16 69.11±1.89 67.74±2.33 67±2.13
XZ1516 74.19±1.79 74.05±2.56 72.94±2.45
CB4856 65.95±2.42 70.31±4.26 70.31±4.96
RC301 67.66±1.77 67.92±2.39 66.73±2.23
PD1074 65.55±1.99 65.4±2.66 64.44±2.49
ECA248 61.87±2.49 62.48±3.31 61.43±3.11
ECA36 74.91±2.64 77.28±4.39 76.18±4.59
ECA396 70.91±1.69 68.23±1.99 67.73±1.78
Table: Cadmium dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- -------------
MY16 114.24±4.58 133.71±10.52 127.7±9.27
XZ1516 124.39±4.6 155.26±11.95 147.88±11.23
CB4856 129.63±7.91 195.31±26.19 193.63±29.32
RC301 117.2±4.76 145.54±12.8 136.48±11.47
PD1074 117±5.58 145.13±14.15 137.61±12.5
ECA248 112.43±7.43 142.61±18.65 134.06±16.28
ECA36 133.19±7.76 181.37±23.33 173.4±23.71
ECA396 112.35±3.75 126.27±7.92 122.06±6.79
Table: Carbaryl Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- --------------
RC301 153.86±13.45 206.66±31.25 318.49±148.7
MY16 115.77±4.5 131.85±4.29 135.52±4.16
XZ1516 138.51±5.63 160.03±6.16 167.91±8.08
ECA248 215.06±13.53 263.15±26.42 350.16±107.75
CB4856 200.77±7.47 224.45±7.79 232.64±9.74
ECA396 118.25±6.19 134.47±5.88 138.17±5.63
ECA36 282.12±38.73 391.53±85.12 NA
Table: Carbaryl Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- -------------- -------------
RC301 560.72±88.19 899.1±242.48 NA
MY16 329.43±10.08 372.72±19.75 377.73±25.18
XZ1516 396.9±19.22 480.15±41.68 527.38±71.69
ECA248 599.91±67.03 828.28±158.41 NA
CB4856 477.83±21.16 543.72±40.07 589.88±68.61
ECA396 334.69±14.2 365.03±24.39 365.57±28.19
ECA36 823.29±165.63 NA NA
Table: Carbaryl Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -----------
MY16 641.47±34.4 NA NA
XZ1516 776.32±60.67 NA NA
CB4856 830.35±58.18 NA NA
ECA396 649.51±47.04 990.92±136.9 967.21±149
Table: Carboxin Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -------------
RC301 245.37±13.69 268.12±13.33 271.54±13.17
MY16 208.99±11.87 232.92±11.41 236.38±11.06
XZ1516 246.6±16.77 281.8±17.27 286.26±17.03
PD1074 294.44±24.48 321.2±23.59 326.03±23.43
ECA248 264.83±20 294.25±19.9 298.93±19.58
CB4856 218.08±16.13 242.89±15.96 246.14±15.48
ECA396 270.53±11.22 295.77±10.69 298.53±10.38
ECA36 343.43±23.11 376.82±22.71 382.09±22.25
Table: Carboxin Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -------------
RC301 518.27±12.99 520.48±15.19 514.66±14.85
MY16 542.31±16.17 559.04±22.25 551.86±22.67
XZ1516 634.1±24.55 652.59±34.08 647.19±35.34
PD1074 762.58±35.12 837.75±72.34 829.67±86.63
ECA248 653.85±27.45 672.27±39.66 662.19±40.07
CB4856 567.38±22.5 585.55±31.62 575.34±31.85
ECA396 543.23±11.13 538.19±12.02 534.45±11.71
ECA36 721.61±27.71 712.59±33.79 705.55±31.94
Table: Carboxin Estimates
Strain Weibull Log-Logistic Lognormal
------- --------------- --------------- ---------------
RC301 834.65±39.4 1010.37±74.89 975.44±68.53
MY16 995.79±54.82 1341.73±127.72 1288.38±122.31
XZ1516 1157.57±81.68 1511.25±193.26 1463.19±189.76
PD1074 1398.49±106.11 NA NA
ECA248 1163.1±82.92 1535.93±209.95 1466.89±201.43
CB4856 1043.54±72.96 1411.64±179.5 1344.81±169.67
ECA396 847.09±31.39 979.33±52.28 956.83±47.61
ECA36 1158.26±71.01 1347.56±144.72 1302.84±129.29
Table: Chlorfenapyr Estimates
Strain Weibull Log-Logistic Lognormal
------- ---------- ------------- ----------
ECA396 0.44±0.02 0.48±0.02 0.49±0.02
CB4856 0.26±0.01 0.27±0.01 0.27±0.01
ECA36 0.94±0.03 1.03±0.03 1.05±0.02
MY16 0.19±0.01 0.2±0.01 0.21±0.01
XZ1516 0.29±0.01 0.32±0.01 0.32±0.01
RC301 0.21±0.01 0.22±0.01 0.22±0.01
PD1074 0.31±0.01 0.31±0.01 0.31±0.01
ECA248 0.19±0.01 0.2±0.01 0.2±0.01
Table: Chlorfenapyr Estimates
Strain Weibull Log-Logistic Lognormal
------- ---------- ------------- ----------
ECA396 0.76±0.03 0.72±0.02 0.73±0.02
CB4856 0.54±0.01 0.53±0.01 0.53±0.01
ECA36 1.65±0.04 1.53±0.04 1.53±0.04
MY16 0.49±0.02 0.49±0.02 0.49±0.02
XZ1516 0.65±0.01 0.65±0.01 0.64±0.01
RC301 0.48±0.01 0.47±0.01 0.46±0.01
PD1074 0.57±0.01 0.58±0.01 0.58±0.01
ECA248 0.5±0.02 0.49±0.02 0.49±0.02
Table: Chlorfenapyr Estimates
Strain Weibull Log-Logistic Lognormal
------- ---------- ------------- ----------
ECA396 1.09±0.07 1.07±0.09 1.08±0.08
CB4856 0.84±0.02 1.05±0.05 1.03±0.05
ECA36 2.34±0.08 2.26±0.14 2.24±0.13
MY16 0.9±0.05 1.19±0.1 1.14±0.09
XZ1516 1.09±0.05 1.31±0.08 1.3±0.07
RC301 0.82±0.03 1.01±0.05 0.97±0.05
PD1074 0.84±0.03 1.08±0.05 1.09±0.05
ECA248 0.94±0.06 1.24±0.12 1.2±0.11
Table: Chlorothalonil Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- ------------- ------------
PD1074 33.57±17.14 58.34±45.23 NA
ECA36 27.12±6.11 38.09±16.06 64.47±98.41
ECA396 38.24±7.05 51.8±15.79 80.42±68.34
RC301 164.03±519.98 NA NA
XZ1516 49.13±6 55.59±6.36 58.19±9.26
Table: Chlorothalonil Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- -------------- -------------
PD1074 208.51±159.34 NA NA
ECA36 124.4±52.06 223.48±182.07 NA
ECA396 155.5±52.26 NA NA
XZ1516 127.54±16.01 153.29±37.18 174.57±75.71
Table: Chlorothalonil Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- ----------
XZ1516 234.24±48.59 NA NA
Table: Chlorpyrifos Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- ------------
MY16 15.55±39.17 NA NA
XZ1516 2.72±0.14 3.2±0.18 3.53±0.37
PD1074 2.71±4.57 8.49±13.73 NA
ECA248 2.06±0.98 3.57±2.32 12.24±14.97
CB4856 3.88±3.06 10.87±10.59 NA
ECA396 3.79±6.17 10.36±20.26 NA
ECA36 1.81±0.11 2.27±0.18 2.67±0.41
Table: Chlorpyrifos Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- -----------
XZ1516 8.19±0.61 10.39±1.32 13.29±3.38
ECA248 17.87±12.12 NA NA
ECA36 7.39±0.76 10.32±1.69 14.8±4.74
Table: Chlorpyrifos Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- ----------
XZ1516 16.56±1.87 NA NA
ECA36 18.1±2.6 NA NA
Table: Copper(II) chloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- -------------- -----------
RC301 53.28±4.21 58.29±3.5 62.02±7.67
XZ1516 NA 81.73±9.29 81.76±8.04
PD1074 NA 192.19±168.33 NA
ECA36 NA 76.64±13.08 NA
Table: Copper(II) chloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- -------------
RC301 112.02±8.09 131.54±19.64 164.25±55.56
XZ1516 NA 121.15±23.65 151.24±64.36
ECA36 NA 178.38±67.26 NA
Table: Copper(II) chloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- ----------
RC301 179.87±25.31 NA NA
XZ1516 NA 179.58±89.46 NA
Table: Deltamethrin Estimates
Strain Weibull Log-Logistic Lognormal
------- ---------- ------------- ------------
PD1074 0.04±0.23 0.33±2.41 0.43±2.35
CB4856 0.15±0.58 16.9±76.2 21.17±77.68
ECA36 0±0 0±0 0±0
MY16 0.21±0.46 0.49±2.62 0.91±4.32
ECA396 0.18±0.67 26.52±85.9 1.36±3.48
RC301 0.54±4.71 0.98±4.87 2.43±14.96
XZ1516 0±0 NA 0±0
Table: Deltamethrin Estimates
Strain Weibull Log-Logistic Lognormal
------- --------------- --------------- --------------
ECA36 319.82±7642.14 38.64±432.2 22.07±288.54
XZ1516 0±0 NA 24.67±2748.05
PD1074 NA 306.46±2784.41 466.6±6933.93
CB4856 NA 163.38±158.03 156.8±160.65
ECA396 NA 181.73±145.01 NA
Table: Deltamethrin Estimates
Strain Weibull Log-Logistic Lognormal
------- -------- ---------------- ---------------
CB4856 NA 1579±4811.27 1161.27±2335.7
ECA396 NA 1245.31±2455.33 NA
Table: Lead(II) nitrate Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- ------------- ----------
ECA36 233.52±141.68 556.99±619.9 NA
Table: Malathion Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -------------
PD1074 43.1±8.32 55.03±8.58 57.77±8.27
CB4856 63.14±15.09 81.48±14.72 82.1±13.75
ECA36 154.44±41.48 173.94±39.44 175.59±37.24
MY16 57.84±16.26 73.8±16.64 75.96±15.69
ECA396 58.18±12.11 72.53±11.98 75.55±11.52
RC301 24.24±6.59 33.82±7.15 36.21±7.04
XZ1516 53.69±12.95 73.68±13.64 77.04±13.05
ECA248 65.46±21.75 71.99±24.52 73.54±25.32
Table: Malathion Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- -------------- --------------
PD1074 237.01±17.55 239.09±20.55 232.69±19.32
CB4856 236.07±22.03 228.05±20.67 226.28±20.44
ECA36 578.45±86.47 589.44±116.12 582.05±117.28
MY16 227.41±29.29 213.51±28.3 212.64±27.16
ECA396 242.49±22.58 233.04±23.45 231.16±22.3
RC301 139.79±11.92 139.37±12.11 136.55±11.53
XZ1516 367.59±50.61 376.79±63.33 376.73±64.69
ECA248 182.41±22.05 179.76±23.21 176.34±22.91
Table: Malathion Estimates
Strain Weibull Log-Logistic Lognormal
------- --------------- --------------- ---------------
PD1074 702.33±101.76 1038.8±234.25 937.23±189.82
CB4856 547.07±103.75 638.28±137.36 623.64±120.97
ECA36 1341.97±345.75 1997.5±866.47 1929.38±827.65
MY16 544.19±119.51 617.68±189.19 595.26±160.82
ECA396 602.25±103.68 748.74±183.23 707.28±155.82
RC301 426.97±69.66 574.25±137.49 514.92±107.57
XZ1516 1252.49±351.79 1926.96±795.09 1842.32±737.53
ECA248 350.51±65.05 448.83±158.07 422.87±142.46
Table: Mancozeb Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- --------------
MY16 77.26±4.14 83.82±4.12 85.84±4.98
ECA248 59.8±2.37 66.35±2.46 68.55±3.05
RC301 83.54±50.09 121.97±81.24 227.98±166.26
ECA36 53.66±6.9 71.71±13.83 128.15±82.13
ECA396 59.21±4.28 72.71±7.47 100.19±29.71
PD1074 41.08±3.31 52.97±6.17 74.24±23.45
XZ1516 96.61±24.43 126.74±39.97 NA
CB4856 46.73±1.84 56.28±3.13 65.07±7.91
Table: Mancozeb Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -------------
MY16 152.35±9.43 164.97±16.41 176.45±27.63
ECA248 138.51±6.89 154.06±12.04 166.69±19.64
ECA36 189.45±40.35 NA NA
ECA396 176.14±22.61 240.97±45.71 NA
PD1074 159.8±23.85 233.97±52.49 NA
CB4856 140.11±10.02 185.88±22.91 NA
Table: Mancozeb Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- ----------
MY16 234.85±22.96 NA NA
ECA248 236.56±18.17 NA NA
Table: Manganese dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ---------------- --------------- --------------
PD1074 493.38±73.5 586.18±125.39 639.75±257.73
MY16 1820.28±1973.15 NA NA
RC301 1141.28±129.55 1212.69±191.27 NA
Table: Manganese dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- --------------- ---------------- ----------------
PD1074 1220.87±307.8 1655.46±1033.91 1906.81±2140.97
RC301 1575.29±155.27 1871.07±792.42 NA
Table: Manganese dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- ------------- ----------
RC301 1934.45±391.2 NA NA
Table: Methomyl Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -----------
ECA396 12.03±0.69 13.39±0.65 13.55±0.63
CB4856 13.75±0.7 14.96±0.66 15.02±0.66
ECA36 11.7±0.72 13.3±0.67 13.37±0.68
MY16 11.81±0.69 13.18±0.64 13.29±0.62
XZ1516 10.75±0.7 11.96±0.66 12.08±0.66
RC301 12.32±0.73 13.53±0.67 13.67±0.67
PD1074 10.76±0.71 12.02±0.73 12.18±0.74
ECA248 18.31±1.75 18.96±1.47 19.02±1.46
Table: Methomyl Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -----------
ECA396 36.19±1.46 39.53±2.75 40.7±3.68
CB4856 36.08±0.99 37.83±1.7 37.69±1.97
ECA36 37.83±1.19 38.55±1.36 38.16±1.4
MY16 37.04±1.41 40.75±2.39 41.48±2.96
XZ1516 32.62±1.2 34.2±1.87 34.15±2.07
RC301 34.33±1.06 35.4±1.5 35.3±1.57
PD1074 31.22±1.48 34.3±2.67 34.52±3.36
ECA248 40.73±1.75 42.01±2.6 42.07±2.82
Table: Methomyl Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -------------
ECA396 73.03±4.8 116.76±16.38 122.28±21.79
CB4856 66.72±2.93 95.68±9.44 94.55±10.8
ECA36 79.91±4.95 111.78±9.58 108.94±9.47
MY16 76.75±5.04 125.94±15.47 129.45±18.85
XZ1516 66.17±4.02 97.81±11.81 96.5±12.8
RC301 65.99±3.53 92.58±9.1 91.2±9.35
PD1074 61.55±4.77 97.89±16.39 97.85±20.03
ECA248 67.79±5.38 93.08±13.39 93.06±14.53
Table: Methylmercury dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ---------- ------------- ----------
ECA396 2.3±0.22 2.78±0.24 2.88±0.25
CB4856 1.66±0.2 2.11±0.23 2.24±0.25
ECA36 2.38±0.21 2.84±0.24 2.97±0.25
MY16 1.72±0.28 2.07±0.3 2.14±0.31
XZ1516 3.52±0.35 4.04±0.38 4.13±0.39
RC301 2.64±0.3 3.52±0.47 4.11±0.88
PD1074 2.32±0.23 3.16±0.37 3.79±0.75
ECA248 1.22±0.24 1.76±0.49 2.39±1.45
Table: Methylmercury dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- ------------
ECA396 15.73±1.97 18.51±2.76 19.88±3.51
CB4856 14.2±2.23 17.82±3.71 19.28±4.96
ECA36 21.1±2.16 25.08±3.6 28.27±5.14
MY16 12.71±2.86 15.13±3.63 16.43±4.63
XZ1516 22.61±2.39 26.51±4 28.86±5.53
RC301 19.74±3.18 30.25±7.95 44.17±21.49
PD1074 19.52±2.85 30.81±7.35 47.7±21.41
ECA248 10.61±3.63 18.76±10.88 36.23±46.04
Table: Methylmercury dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ -------------- -------------
ECA396 53.59±9.52 123.29±32.58 137.08±42.7
CB4856 55.77±12.9 150.16±56.21 166.17±76.09
ECA36 84.74±12.2 221.88±55.19 NA
MY16 45.4±14.59 110.74±47.08 126.01±63.06
XZ1516 73.95±10.99 173.68±45.6 201.5±67.63
RC301 71.1±16.11 NA NA
PD1074 75.95±15.93 NA NA
ECA248 42.13±20.59 199.52±184.63 NA
Table: Nickel dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -----------
ECA396 49.7±2.61 50.33±2.22 50.28±1.96
CB4856 49.71±2.86 50.28±2.4 50.43±2.09
ECA36 52.92±2.95 57.57±2.02 59.8±2.85
MY16 42.6±2.83 45.4±2.33 45.84±2.14
PD1074 62.34±4.45 63.61±3.87 62.17±3.09
Table: Nickel dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- -------------
ECA396 86.77±1.57 85.7±1.93 84.36±1.9
CB4856 84.76±1.81 82.79±2.13 81.59±2.04
ECA36 110.04±4.75 127.77±12.22 143.71±26.28
MY16 93.5±2.79 102.13±6.2 103.29±8.48
PD1074 103.72±1.97 107.44±4.11 109.84±5.83
Table: Nickel dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- ------------
ECA396 123.76±3.33 145.93±7.24 141.52±6.56
CB4856 119.1±3.35 136.32±6.84 132±6.04
ECA36 175.46±16.36 NA NA
MY16 154.31±9.69 NA NA
PD1074 143.47±8.58 181.45±22.12 194.08±26.6
Table: Paraquat Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -----------
MY16 42.51±3.9 41.18±3.32 39.89±2.91
XZ1516 49.37±4.99 57.65±4.75 59.04±4.48
CB4856 40.38±3.35 40.62±2.9 39.46±2.7
RC301 15.69±1.75 22.62±1.85 22.84±1.66
PD1074 29.15±2.86 28.51±2.26 27.44±2.12
ECA248 29.11±3.68 28.73±2.32 28.45±2.28
ECA36 56.24±4.19 46.32±3.49 45.9±3.55
ECA396 15±1.59 21.65±1.64 21.82±1.5
Table: Paraquat Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -------------
MY16 126.27±7.03 143.14±10.59 157.95±12.48
XZ1516 314.52±29.47 291.05±33.65 302.29±34.18
CB4856 127.35±6.29 138.36±8.69 149.29±10.9
RC301 132.47±13.53 113.76±9.99 124.26±10.77
PD1074 99.37±4.54 110.12±6.65 118.23±8.92
ECA248 86.06±4.61 94.06±5.71 97.15±6.63
ECA36 105.31±2.6 112.07±5.17 114.49±6.19
ECA396 126±11.04 108.5±7.86 116.76±8.2
Table: Paraquat Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- -------------- ---------------
MY16 252.72±28.75 497.57±94.41 625.46±116.71
XZ1516 1023.66±146.7 1469.48±325.3 1547.64±331.52
CB4856 264.81±25.8 471.32±74.8 564.83±99.15
RC301 515.82±96.76 572.24±118.93 676.16±128.82
PD1074 217.13±22.2 425.4±69.17 509.35±97.36
ECA248 171.73±23.93 307.92±49.24 331.75±57.85
ECA36 157.05±6.09 271.17±37.15 285.56±44.67
ECA396 489.11±80.73 543.61±93.74 624.93±97.74
Table: Propoxur Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -------------
PD1074 102.71±17.64 128.4±18.79 135.24±17.89
CB4856 204.62±27.23 227.04±26.01 229.08±24.5
ECA36 147±24.67 172.88±24.52 174.54±23.12
MY16 129.82±15.09 146.53±15.24 148.41±14.36
ECA396 97.45±18.41 121.89±18.14 126.27±17.17
RC301 85.92±11.72 103.31±11.88 108.98±11.35
XZ1516 156.32±21.94 182.46±20.94 185.29±19.86
Table: Propoxur Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- -------------
PD1074 462.46±37.45 445.04±41.43 432.96±37.42
CB4856 494.38±28.99 472.34±29.93 468.21±28.86
ECA36 454.63±31.42 438.07±32.39 431.67±31.38
MY16 367.86±17.6 359.19±19.56 352.43±18.96
ECA396 353.17±31.85 336.68±31.64 334.18±29.93
RC301 367.75±22.54 361.68±25.85 352.48±23.76
XZ1516 407.88±25.76 388.23±25.26 386.84±24.42
Table: Propoxur Estimates
Strain Weibull Log-Logistic Lognormal
------- --------------- --------------- ---------------
PD1074 1206.49±150.61 1542.49±324.65 1386.09±248.18
CB4856 867.38±76.98 982.68±122.49 956.97±109.58
ECA36 933.57±107.49 1110.02±175.15 1067.6±151.52
MY16 714.39±54.4 880.49±102.47 836.9±89.71
ECA396 802.36±124.64 929.94±196.43 884.42±164.17
RC301 928.94±98.21 1266.21±212.74 1140.01±168.61
XZ1516 751.59±75.68 826.03±110 807.61±97.65
Table: Pyraclostrobin Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -----------
ECA248 8.25±1.62 10.95±1.92 11.53±1.98
XZ1516 11.15±1.12 14.35±1.31 14.97±1.33
ECA36 11.06±0.76 14.43±0.85 15±0.87
CB4856 11.78±1.14 14.95±1.29 15.49±1.3
ECA396 6.98±0.66 8.7±0.72 8.98±0.73
PD1074 12.2±0.8 15.36±0.88 15.75±0.88
RC301 17.27±1.74 21.02±1.82 21.31±1.77
MY16 6.79±0.72 8.95±0.84 9.32±0.84
Table: Pyraclostrobin Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- -------------
ECA248 92.17±10.54 104.78±18.2 101.26±18.97
XZ1516 91.26±5.11 94.23±6.91 90.66±6.61
ECA36 78.65±2.91 79.02±3.32 77.35±3.25
CB4856 100.63±6.04 107.88±9 104.37±9.07
ECA396 47.84±3.17 53.28±4.72 52.99±5.13
PD1074 98.62±3.93 105.55±5.59 103.59±5.85
RC301 94.25±5.42 93.51±5.98 92.03±5.82
MY16 76.77±5.29 84.97±8.22 82.82±8.56
Table: Pyraclostrobin Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- --------------- --------------
ECA248 429.08±85.66 1002.86±401.98 889.07±378.1
XZ1516 348.49±32.94 618.76±105.63 548.97±90.54
ECA36 274.59±18.9 432.59±44.76 399.02±39.81
CB4856 394.82±39.31 778.18±144.07 703±133.32
ECA396 163.08±19.05 326.44±64.19 312.77±65.53
PD1074 373.52±26.41 725.34±88.28 681.17±86.1
RC301 277.93±28.44 415.98±60.75 397.5±55.34
MY16 360.29±42.25 806.45±173.01 736.31±164.86
Table: Silver nitrate Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- -------------- ------------
MY16 3.41±4.53 9.04±12.88 51.77±24.47
XZ1516 9.32±2.44 14.5±4.46 29.36±22.24
PD1074 48.66±109.47 106.47±406.52 NA
ECA36 46.76±82.57 104.41±174.59 NA
ECA248 83.76±163.6 NA NA
CB4856 26.28±46.93 69.71±137.69 NA
Table: Silver nitrate Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- ----------
XZ1516 134.72±54.78 NA NA
Table: Triphenyl phosphate Estimates
Strain Weibull Log-Logistic Lognormal
------- ---------- ------------- ----------
MY16 0.36±0.07 0.55±0.09 0.61±0.1
XZ1516 2.18±0.48 2.66±0.52 2.75±0.54
PD1074 2.55±0.27 3.05±0.29 3.14±0.3
ECA36 1.64±0.26 2.18±0.3 2.28±0.3
ECA396 1.51±0.16 1.94±0.18 2.02±0.18
RC301 0.86±0.16 1.18±0.19 1.23±0.19
ECA248 1.78±0.21 2.26±0.23 2.32±0.23
CB4856 2.2±0.24 2.7±0.27 2.8±0.28
Table: Triphenyl phosphate Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- ------------- -----------
MY16 10.49±1.83 16.3±5.09 18.15±7.64
XZ1516 18.03±2.13 22.04±4.55 21.59±5.38
PD1074 18.18±1.01 20.81±1.87 20.14±2.04
ECA36 19.78±2.13 27.1±5.54 29.05±8.4
ECA396 16.02±1.33 19.52±2.59 19.87±3.2
RC301 13.17±1.51 18.08±3.9 19.16±5.72
ECA248 16.27±1.17 18.91±2.09 18.83±2.43
CB4856 18.83±1.17 22.7±2.49 21.99±2.85
Table: Triphenyl phosphate Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------ ------------- -------------
MY16 90.23±26.78 NA NA
XZ1516 69.27±14.72 182.43±86.7 169.55±95.27
PD1074 63.54±6.41 142.04±29.76 129.22±29.96
ECA36 96.56±18.59 NA NA
ECA396 72.16±9.81 196.05±52.87 195.04±62.43
RC301 74.78±15.87 NA NA
ECA248 66.72±8.56 157.99±39.16 152.77±42.78
CB4856 73.96±7.91 190.92±46.54 172.64±48.94
Table: 2,4-D Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- -------------- --------------
ECA36 606.32±203.47 701.36±284.54 NA
MY16 661.03±36.12 695.26±50.26 739.65±119.32
ECA396 442.68±38.97 521.7±80.49 787.12±567.66
ECA248 600.54±30.33 615.09±26.92 614.75±26.56
Table: 2,4-D Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- -------------- ------------
MY16 895.94±78.73 969.37±122.66 NA
ECA396 845.75±135.01 NA NA
ECA248 777.13±26.9 805.09±49.74 817.2±75.29
Table: 2,4-D Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- ----------
ECA248 915.87±53.67 NA NA
Table: Zinc dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ----------- -------------- -------------
MY16 57.69±3.44 74.32±7.34 106.98±36.76
XZ1516 52.17±3.36 60.97±3.78 64.58±5.5
PD1074 83.2±20.08 124.85±39.66 NA
ECA36 59.89±6.51 81.36±13.45 139.56±74.52
ECA396 35.17±1.72 41.38±1.72 43.24±2.03
RC301 49.1±3.08 59.8±4.33 69.49±11.07
ECA248 54±3.87 65.98±5.83 77.03±15.72
CB4856 84.1±48.67 159.15±117.29 NA
Table: Zinc dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- -------------- ------------- --------------
MY16 218.79±26.68 329.98±70.57 NA
XZ1516 176.88±12.79 220.01±28.75 256.95±59.3
PD1074 389.62±131.58 NA NA
ECA36 260.24±51.06 NA NA
ECA396 138.06±5.71 171.53±14.15 195.66±27.8
RC301 183.65±16.31 250.99±40.75 371.7±135.69
ECA248 194.95±22.08 266.78±54.37 388.69±182.27
Table: Zinc dichloride Estimates
Strain Weibull Log-Logistic Lognormal
------- ------------- ------------- ----------
XZ1516 385.12±45.4 NA NA
ECA396 330.04±23.73 NA NA [[1]]
NULL
[[2]]
NULL
[[3]]
NULL
[[4]]
NULL
[[5]]
NULL
[[6]]
NULL
[[7]]
NULL
[[8]]
NULL
[[9]]
NULL
[[10]]
NULL
[[11]]
NULL
[[12]]
NULL
[[13]]
NULL
[[14]]
NULL
[[15]]
NULL
[[16]]
NULL
[[17]]
NULL
[[18]]
NULL
[[19]]
NULL
[[20]]
NULL
[[21]]
NULL
[[22]]
NULL
[[23]]
NULL
[[24]]
NULL
[[25]]
NULL
[[26]]
NULL
[[27]]
NULL
[[28]]
NULL
[[29]]
NULL
[[30]]
NULL
[[31]]
NULL
[[32]]
NULL
[[33]]
NULL
[[34]]
NULL
[[35]]
NULL
[[36]]
NULL
[[37]]
NULL
[[38]]
NULL
[[39]]
NULL
[[40]]
NULL
[[41]]
NULL
[[42]]
NULL
[[43]]
NULL
[[44]]
NULL
[[45]]
NULL
[[46]]
NULL
[[47]]
NULL
[[48]]
NULL
[[49]]
NULL
[[50]]
NULL
[[51]]
NULL
[[52]]
NULL
[[53]]
NULL
[[54]]
NULL
[[55]]
NULL
[[56]]
NULL
[[57]]
NULL
[[58]]
NULL
[[59]]
NULL
[[60]]
NULL
[[61]]
NULL
[[62]]
NULL
[[63]]
NULL
[[64]]
NULL
[[65]]
NULL
[[66]]
NULL
[[67]]
NULL
[[68]]
NULL
[[69]]
NULLToxicant Classes
drug
1 Aldicarb
2 Carbaryl
3 Methomyl
4 Propoxur
drug
1 Carboxin
2 Chlorothalonil
3 Mancozeb
4 Pyraclostrobin
drug
1 D-phenothrin
2 Deltamethrin
3 Permethrin
drug
1 Chlorpyrifos
2 Malathion
3 Parathion
drug
1 Arsenic trioxide
2 Cadmium dichloride
3 Copper(II) chloride
4 Lead(II) nitrate
5 Manganese dichloride
6 Methylmercury dichloride
7 Nickel dichloride
8 Silver nitrate
9 Zinc dichloride
drug
1 2,4-D
2 Atrazine
3 Paraquat
sessionInfo()R version 4.0.4 (2021-02-15)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.7
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggbeeswarm_0.6.0 cowplot_1.1.1 RColorBrewer_1.1-2 RCurl_1.98-1.2
[5] ddpcr_1.15 kableExtra_1.3.4 knitr_1.31 drc_3.0-1
[9] MASS_7.3-53 easyXpress_0.1.0 forcats_0.5.1 stringr_1.4.0
[13] dplyr_1.0.4 purrr_0.3.4 readr_1.4.0 tidyr_1.1.2
[17] tibble_3.1.0 ggplot2_3.3.3 tidyverse_1.3.0 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] TH.data_1.0-10 colorspace_2.0-0 ellipsis_0.3.1
[4] rio_0.5.16 rprojroot_2.0.2 fs_1.5.0
[7] rstudioapi_0.13 farver_2.0.3 audio_0.1-7
[10] fansi_0.4.2 mvtnorm_1.1-1 lubridate_1.7.9.2
[13] xml2_1.3.2 codetools_0.2-18 splines_4.0.4
[16] readbitmap_0.1.5 jsonlite_1.7.2 broom_0.7.5
[19] dbplyr_2.1.0 png_0.1-7 compiler_4.0.4
[22] httr_1.4.2 backports_1.2.1 assertthat_0.2.1
[25] bmp_0.3 Matrix_1.3-2 cli_2.3.1
[28] beepr_1.3 later_1.1.0.1 htmltools_0.5.1.1
[31] tools_4.0.4 igraph_1.2.6 gtable_0.3.0
[34] glue_1.4.2 rebus.base_0.0-3 Rcpp_1.0.6
[37] carData_3.0-4 cellranger_1.1.0 jquerylib_0.1.3
[40] vctrs_0.3.6 svglite_2.0.0 xfun_0.21
[43] rebus.datetimes_0.0-1 openxlsx_4.2.3 rvest_0.3.6
[46] lifecycle_1.0.0 rebus.numbers_0.0-1 gtools_3.8.2
[49] zoo_1.8-8 scales_1.1.1 hms_1.0.0
[52] promises_1.2.0.1 sandwich_3.0-0 yaml_2.2.1
[55] curl_4.3 sass_0.3.1 stringi_1.5.3
[58] imager_0.42.7 highr_0.8 plotrix_3.8-1
[61] tiff_0.1-6 zip_2.1.1 bitops_1.0-6
[64] rlang_0.4.10 pkgconfig_2.0.3 systemfonts_1.0.1
[67] evaluate_0.14 lattice_0.20-41 labeling_0.4.2
[70] tidyselect_1.1.0 magrittr_2.0.1 R6_2.5.0
[73] generics_0.1.0 multcomp_1.4-16 DBI_1.1.1
[76] pillar_1.5.0 haven_2.3.1 whisker_0.4
[79] foreign_0.8-81 withr_2.4.1 rebus_0.1-3
[82] survival_3.2-7 abind_1.4-5 rebus.unicode_0.0-2
[85] modelr_0.1.8 crayon_1.4.1 car_3.0-10
[88] utf8_1.1.4 rmarkdown_2.7 jpeg_0.1-8.1
[91] grid_4.0.4 readxl_1.3.1 data.table_1.14.0
[94] git2r_0.28.0 reprex_1.0.0 digest_0.6.27
[97] webshot_0.5.2 httpuv_1.5.5 munsell_0.5.0
[100] beeswarm_0.2.3 viridisLite_0.3.0 vipor_0.4.5
[103] bslib_0.2.4