LD_cal: main function to calculate LD50.
In Yiguan/LD50:
Description
Usage
Arguments
Examples
Description
If death rate in control group < 0.05, no correction is needed;
if death rate between 0.05 - 0.2, using Abbott fomula to adjust the assay;
if death rate > 0.2, invalid assay. Program will stop!
Usage
1
LD_cal(dfr)
Arguments
dfr
A dataframe with three variables(concentration/dose, death, total), make sure the first observation(row) is control.
Examples
1
2
3
aa <- data.frame('con' = c(0,0.01,0.02,0.04,0.08,0.16,0.32),
'death' = c(1,6,16,23,25,34,44), 'total' = c(60,59,60,60,57,58,60))
LD_cal(aa)
Yiguan/LD50 documentation built on April 14, 2020, 8:28 a.m.
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Description Usage Arguments Examples
Description
If death rate in control group < 0.05, no correction is needed; if death rate between 0.05 - 0.2, using Abbott fomula to adjust the assay; if death rate > 0.2, invalid assay. Program will stop!
Usage
1 | LD_cal(dfr)
|
Arguments
dfr |
A dataframe with three variables(concentration/dose, death, total), make sure the first observation(row) is control. |
Examples
1 2 3 | aa <- data.frame('con' = c(0,0.01,0.02,0.04,0.08,0.16,0.32),
'death' = c(1,6,16,23,25,34,44), 'total' = c(60,59,60,60,57,58,60))
LD_cal(aa)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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