palb_temo_01: A data.frame with longitudinal measurements from a...
In wfforrest/maeve: Modeling Accessories Enabling Visualization of Experiments
Description
Usage
Format
Details
Author(s)
References
Description
Data frame with 7 columns and 668 rows recorded from NCr nude mice with subcutaneous human glioblastoma patient-derived xenografts.
This is a combination study with palbociclib (a SMI of CDK 4/6) at two levels and temozolomide (a DNA alkylating agent) at four levels.
Palbociclib was dosed for the first 21 days of the study, while temozolomide was dosed for the first 5 days.
Doses in mg/kg are encoded in levels of the group_name factor.
Usage
1
data( palb_temo_01 )
Format
A data frame with 7 columns and 668 rows.
Details
The columns are as follows:
study_id factor five-digit study identification number
group_name factor dose group label
cohort_id factor cohort identifier
animalID factor animal identifier
DAY_OF_STUDY numeric day of study
BODY_WEIGHT numeric body weight in grams
TUMOR_VOLUME numeric tumor volume calculated as ( 0.5 ) * ( TUMOR_LENGTH_X ) * ( TUMOR_LENGTH_Y )^2
Author(s)
Bill Forrest forrest@gene.com
References
wfforrest/maeve documentation built on Jan. 1, 2021, 12:47 p.m.
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Description Usage Format Details Author(s) References
Description
Data frame with 7 columns and 668 rows recorded from NCr nude mice with subcutaneous human glioblastoma patient-derived xenografts. This is a combination study with palbociclib (a SMI of CDK 4/6) at two levels and temozolomide (a DNA alkylating agent) at four levels. Palbociclib was dosed for the first 21 days of the study, while temozolomide was dosed for the first 5 days. Doses in mg/kg are encoded in levels of the group_name factor.
Usage
1 | data( palb_temo_01 )
|
Format
A data frame with 7 columns and 668 rows.
Details
The columns are as follows:
study_id factor five-digit study identification number
group_name factor dose group label
cohort_id factor cohort identifier
animalID factor animal identifier
DAY_OF_STUDY numeric day of study
BODY_WEIGHT numeric body weight in grams
TUMOR_VOLUME numeric tumor volume calculated as ( 0.5 ) * ( TUMOR_LENGTH_X ) * ( TUMOR_LENGTH_Y )^2
Author(s)
Bill Forrest forrest@gene.com
References
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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