Description Usage Arguments Value Author(s) Examples
Function to generate a table of EC values from a data frame of multiple isolates.
1 2 |
x |
a data frame that has at least the columns listed in the |
form |
a formula specifying the column names for the response and dose. Defaults to NULL. |
model |
one of 4 options:
|
response |
a numeric vector specifying what EC values you want to calculate. |
idcol |
the name of the column that identifies the samples (case sensitive). |
result |
What result do you want returned? Default is "df" for a data frame of summary values. If you want the models returned, choose "model". If you want the summary output of the model, choose "summary". |
plot |
if |
... |
parameters passed on to |
a data frame that contains EC estimates and standard errors in columns and samples in rows.
Zhian N. Kamvar
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data(dummydata)
# Using 3 parameter Log-Logistic Model (default)
EC_table(dummydata, form = response ~ dose)
# Using 4 parameter Weibull Model.
EC_table(dummydata, form = response ~ dose, model = "W2.4")
# This function really only needs three columns.
newdat <- dummydata[c("ID", "dose", "response")]
EC_table(newdat, form = response ~ dose)
# We can rename them, too.
colnames(newdat) <- c("identity", "dosage", "growth")
EC_table(newdat, form = growth ~ dosage, idcol = "identity")
|
# A tibble: 2 x 7
sample Estimate.10 SE.10 Estimate.50 SE.50 Estimate.90 SE.90
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Sample1 0.000954 0.00118 0.0829 0.0410 7.20 5.06
2 Sample2 0.000660 0.000875 0.0924 0.0471 12.9 9.77
# A tibble: 2 x 7
sample Estimate.10 SE.10 Estimate.50 SE.50 Estimate.90 SE.90
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Sample1 0.00400 0.00401 0.0868 0.0413 10.9 14.6
2 Sample2 0.00236 0.00314 0.104 0.0564 39.2 83.9
# A tibble: 2 x 7
sample Estimate.10 SE.10 Estimate.50 SE.50 Estimate.90 SE.90
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Sample1 0.000954 0.00118 0.0829 0.0410 7.20 5.06
2 Sample2 0.000660 0.000875 0.0924 0.0471 12.9 9.77
# A tibble: 2 x 7
sample Estimate.10 SE.10 Estimate.50 SE.50 Estimate.90 SE.90
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Sample1 0.000954 0.00118 0.0829 0.0410 7.20 5.06
2 Sample2 0.000660 0.000875 0.0924 0.0471 12.9 9.77
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