ColonCancerChemo_df: Chemotherapy for Stage B/C Colon Cancer
In OncoDataSets: A Comprehensive Collection of Cancer Types and Cancer-Related Datasets
ColonCancerChemo_df R Documentation
Chemotherapy for Stage B/C Colon Cancer
Description
This dataset, ColonCancerChemo_df, is a data frame containing data from one of the first successful trials of adjuvant chemotherapy for stage B/C colon cancer. The dataset includes information from 1858 observations and 16 variables. Each patient has two records: one for recurrence and one for death.
Usage
data(ColonCancerChemo_df)
Format
A data frame with 1858 observations and 16 variables:
- id
Patient identifier (numeric).
- study
Study identifier (numeric).
- rx
Treatment received: 1 = observation, 2 = levamisole, 3 = levamisole+5-FU (factor).
- sex
Sex of the patient: 1 = male, 2 = female (numeric).
- age
Age of the patient (numeric).
- obstruct
Obstruction of the colon: 1 = yes, 0 = no (numeric).
- perfor
Perforation of the colon: 1 = yes, 0 = no (numeric).
- adhere
Adherence to nearby organs: 1 = yes, 0 = no (numeric).
- nodes
Number of positive lymph nodes detected (numeric).
- status
Survival status: 1 = alive, 2 = dead (numeric).
- differ
Tumor differentiation: 1 = well, 2 = moderate, 3 = poor (numeric).
- extent
Tumor extent: 1 = submucosa, 2 = muscle, 3 = serosa, 4 = contiguous structures (numeric).
- surg
Surgical intervention: 0 = short, 1 = long (numeric).
- node4
Presence of 4+ positive lymph nodes: 1 = yes, 0 = no (numeric).
- time
Follow-up time in days (numeric).
- etype
Event type: 1 = recurrence, 2 = death (numeric).
Details
The dataset name has been kept as 'ColonCancerChemo_df' to avoid confusion with other datasets in the R ecosystem.
This naming convention helps distinguish this dataset as part of the OncoDataSets package and assists users in identifying
its specific characteristics. The suffix '_df' indicates that the dataset is a data frame. The original content has not been modified in any way.
Source
Data taken from the survival package.
OncoDataSets documentation built on April 3, 2025, 6:08 p.m.
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| ColonCancerChemo_df | R Documentation |
Chemotherapy for Stage B/C Colon Cancer
Description
This dataset, ColonCancerChemo_df, is a data frame containing data from one of the first successful trials of adjuvant chemotherapy for stage B/C colon cancer. The dataset includes information from 1858 observations and 16 variables. Each patient has two records: one for recurrence and one for death.
Usage
data(ColonCancerChemo_df)
Format
A data frame with 1858 observations and 16 variables:
- id
Patient identifier (numeric).
- study
Study identifier (numeric).
- rx
Treatment received: 1 = observation, 2 = levamisole, 3 = levamisole+5-FU (factor).
- sex
Sex of the patient: 1 = male, 2 = female (numeric).
- age
Age of the patient (numeric).
- obstruct
Obstruction of the colon: 1 = yes, 0 = no (numeric).
- perfor
Perforation of the colon: 1 = yes, 0 = no (numeric).
- adhere
Adherence to nearby organs: 1 = yes, 0 = no (numeric).
- nodes
Number of positive lymph nodes detected (numeric).
- status
Survival status: 1 = alive, 2 = dead (numeric).
- differ
Tumor differentiation: 1 = well, 2 = moderate, 3 = poor (numeric).
- extent
Tumor extent: 1 = submucosa, 2 = muscle, 3 = serosa, 4 = contiguous structures (numeric).
- surg
Surgical intervention: 0 = short, 1 = long (numeric).
- node4
Presence of 4+ positive lymph nodes: 1 = yes, 0 = no (numeric).
- time
Follow-up time in days (numeric).
- etype
Event type: 1 = recurrence, 2 = death (numeric).
Details
The dataset name has been kept as 'ColonCancerChemo_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the OncoDataSets package and assists users in identifying its specific characteristics. The suffix '_df' indicates that the dataset is a data frame. The original content has not been modified in any way.
Source
Data taken from the survival package.
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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