View source: R/summ_response_Function.R
summarizeResponse | R Documentation |
This function summarizes the drug response information of PDXs.
summarizeResponse( object, response.measure = "mRECIST", model.id = NULL, batch.id = NULL, group.by = "patient.id", summary.stat = c(";", "mean", "median"), tissue = NULL, other.col = NULL, return.type = c("matrix", "data.frame") )
object |
The |
response.measure |
|
model.id |
The |
batch.id |
A |
group.by |
Default |
summary.stat |
Dictates which summary method to use if multiple IDs are found. |
tissue |
Name of the tissue. Default |
other.col |
Names of other columns to add in the return, if return.type is data.frame |
return.type |
Specify return type, allowed values are 'matrix' or 'data.frame'. Default |
There can be two types of drug response measure.
Per model response: One response value for each Model, eg. mRECIST_recomputed
for each model.
Per batch response: One response value for each Batch, eg. angle
between treatment and control groups.
For the per model response
output, columns will be model.id
(or group.by
).
For the per batch response
output, the group.by
value can be "batch.name"
.
A matrix
with rows as drug names, column as group.by
. Each cell contains response.measure
for the pair.
data(brca) brca.mR <- summarizeResponse(brca, response.measure = "mRECIST", group.by="patient.id") ## to get batch level response br <- summarizeResponse(brca, response.measure = "abc", return.type="data.frame") ## to get model level response for a batch r <- summarizeResponse(brca, response.measure = "mRECIST", batch.id = "X-1004.BGJ398")
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