surv_data: Clinical outcome and clinicopathological data.
In MPE-Lab/TIPC: Tumor-Immune Partitioning and Clustering (test)
Description
A data frame containing the survival and clinicopathological data for 50 tumors.
Usage
1
Format
A data frame containing 50 rows (i.e. tumors) and 16 variables:
- time
survival time, numeric
- cens
censoring data,
binary
- covariate_1
covariate var1, factor
- covariate_2
covariate var, factor
- covariate_3
covariate var, factor
- covariate_4
covariate var, factor
- covariate_5
covariate var, factor
- covariate_6
covariate var, factor
- covariate_7
covariate var, factor
- covariate_8
covariate var, factor
- covariate_9
covariate var1 factor
- covariate_10
covariate var, factor
- covariate_11
covariate var1 factor
- covariate_12
covariate var, factor
- covariate_13
covariate var, factor
- covariate_14
covariate var, factor
MPE-Lab/TIPC documentation built on Sept. 17, 2021, 6:33 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
A data frame containing the survival and clinicopathological data for 50 tumors.
Usage
1 |
Format
A data frame containing 50 rows (i.e. tumors) and 16 variables:
- time
survival time, numeric
- cens
censoring data, binary
- covariate_1
covariate var1, factor
- covariate_2
covariate var, factor
- covariate_3
covariate var, factor
- covariate_4
covariate var, factor
- covariate_5
covariate var, factor
- covariate_6
covariate var, factor
- covariate_7
covariate var, factor
- covariate_8
covariate var, factor
- covariate_9
covariate var1 factor
- covariate_10
covariate var, factor
- covariate_11
covariate var1 factor
- covariate_12
covariate var, factor
- covariate_13
covariate var, factor
- covariate_14
covariate var, factor
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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