This dataset contains the simulated output data for the penetrance package.
Usage
data(out_sim)Format
A list with the following components:
- summary_stats
A data frame with 18000 observations of 8 variables:
- Median_Male
numeric, Median value for males
- Median_Female
numeric, Median value for females
- Threshold_Male
numeric, Threshold value for males
- Threshold_Female
numeric, Threshold value for females
- First_Quartile_Male
numeric, First quartile value for males
- First_Quartile_Female
numeric, First quartile value for females
- Asymptote_Male
numeric, Asymptote value for males
- Asymptote_Female
numeric, Asymptote value for females
- density_plots
A list of 1 element, mfrow: integer vector of length 2
- trace_plots
A list of 1 element, mfrow: integer vector of length 2
- penetrance_plot
A list of 2 elements: rect and text
- pdf_plots
A list of 2 elements: rect and text
- combined_chains
A list of 19 numeric vectors with 18000 elements each
- results
A list of 1 element which is a list of 24 elements, each with 18000 elements
- data
A data frame with 4727 observations of 9 variables:
- individual
integer, Individual ID
- isProband
numeric, Indicator if the individual is a proband
- family
integer, Family ID
- mother
numeric, Mother's ID
- father
numeric, Father's ID
- aff
numeric, Affected status
- sex
numeric, Sex of the individual
- age
numeric, Age of the individual
- geno
character, Genotype
Examples
data(out_sim)
head(out_sim$summary_stats)
#> Median_Male Median_Female Threshold_Male Threshold_Female First_Quartile_Male
#> 1 65.29099 52.24483 31.1586 14.67767 53.81554
#> 2 65.29099 52.24483 31.1586 14.67767 53.81554
#> 3 65.29099 52.24483 31.1586 14.67767 53.81554
#> 4 65.29099 52.24483 31.1586 14.67767 53.81554
#> 5 65.29099 52.24483 31.1586 14.67767 53.81554
#> 6 65.29099 52.24483 31.1586 14.67767 53.81554
#> First_Quartile_Female Asymptote_Male Asymptote_Female
#> 1 40.01161 0.5917241 0.6169134
#> 2 40.01161 0.5917241 0.6169134
#> 3 40.01161 0.5917241 0.6169134
#> 4 40.01161 0.5917241 0.6169134
#> 5 40.01161 0.5917241 0.6169134
#> 6 40.01161 0.5917241 0.6169134