Test Datasets for Outcome Organizer Function
Source:R/data_outcomeorganizer_docs.R
outcomeorganizer_test_datasets.RdTest Datasets for Outcome Organizer Function
Usage
outcomeorganizer_os
outcomeorganizer_compete
outcomeorganizer_pfs
outcomeorganizer_rfs
outcomeorganizer_causespecific
outcomeorganizer_multistate
outcomeorganizer_dfs
outcomeorganizer_small
outcomeorganizer_censored
outcomeorganizer_alleventsFormat
outcomeorganizer_os
Overall Survival dataset (150 observations):
- patient_id
Patient identifier
- vital_status
Vital status (Alive/Dead)
- time_months
Follow-up time in months
- age
Patient age
- stage
Disease stage (I/II/III/IV)
outcomeorganizer_compete
Competing Risks dataset (120 observations):
- patient_id
Patient identifier
- outcome_status
Outcome (Alive_NED/Alive_Disease/Dead_Disease/Dead_Other)
- time
Follow-up time
- treatment
Treatment type
outcomeorganizer_pfs
Progression-Free Survival dataset (100 observations):
- patient_id
Patient identifier
- vital_status
Vital status (Alive/Dead)
- progression
Progression status (No/Yes)
- time_months
Follow-up time in months
- biomarker
Biomarker status
outcomeorganizer_rfs
Recurrence-Free Survival dataset (110 observations):
- patient_id
Patient identifier
- vital
Vital status (Alive/Dead)
- recurrence
Recurrence status (No/Yes)
- fu_time
Follow-up time
- grade
Tumor grade
outcomeorganizer_causespecific
Cause-Specific Survival dataset (90 observations):
- patient_id
Patient identifier
- death_status
Death status (Alive/Dead_Cancer/Dead_Cardiac/Dead_Other)
- time
Follow-up time
- risk_score
Risk score
outcomeorganizer_multistate
Multistate Model dataset (80 observations):
- patient_id
Patient identifier
- current_state
Current state (Disease_Free/Local_Recurrence/Metastatic/Dead)
- time
Follow-up time
outcomeorganizer_dfs
Disease-Free Survival dataset (95 observations):
- patient_id
Patient identifier
- status
Status (NED/Disease/Dead)
- time_years
Follow-up time in years
- surgery_type
Surgery type
outcomeorganizer_small
Small dataset (15 observations) for edge case testing:
- id
Patient identifier
- outcome
Outcome (Event/NoEvent)
- time
Follow-up time
outcomeorganizer_censored
All censored dataset (30 observations):
- id
Patient identifier
- status
Status (all Alive)
- time
Follow-up time
outcomeorganizer_allevents
All events dataset (25 observations):
- id
Patient identifier
- status
Status (all Dead)
- time
Follow-up time
An object of class tbl_df (inherits from tbl, data.frame) with 120 rows and 4 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 100 rows and 5 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 110 rows and 5 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 90 rows and 4 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 80 rows and 3 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 95 rows and 4 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 15 rows and 3 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 30 rows and 3 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 25 rows and 3 columns.
Examples
data(outcomeorganizer_os)
if (FALSE) { # \dontrun{
outcomeorganizer(
data = outcomeorganizer_os,
outcome = "vital_status",
time = "time_months",
dead = "Dead",
alive = "Alive"
)
} # }