Elementary Epidemiological Functions for Epidemiology and Biostatistics

[Up] [Top]

Documentation for package ‘epibasix’ version 1.5

Help Pages

Contingency Table Epidemiological 2x2 Contingency Table Analysis Tool
corXY Correlation of Two Vectors
diffDetect Mean Difference Detetion Tool
epi2x2 Epidemiological 2x2 Contingency Table Analysis Tool
epiKappa Computation of the Kappa Statistic for Agreement Between Two Raters
epiTTest Epidemiological T-Test Function
mcNemar Pair-Matched Analysis Tool
Mean Difference Mean Difference Detetion Tool
n4means Number of Subjects Required for a Randomized Trial with a Continuous Outcome
n4props Number of Subjects Required for a Randomized Trial with Binary Outcomes
print.corXY Correlation of Two Vectors
print.diffDetect Mean Difference Detetion Tool
print.epi2x2 Epidemiological 2x2 Contingency Table Analysis Tool
print.epiKappa Computation of the Kappa Statistic for Agreement Between Two Raters
print.epiTTest Epidemiological T-Test Function
print.mcNemar Pair-Matched Analysis Tool
print.n4means Number of Subjects Required for a Randomized Trial with a Continuous Outcome
print.n4props Number of Subjects Required for a Randomized Trial with Binary Outcomes
print.sensSpec Sensitivity and Specificity Analysis of a 2x2 Matrix
print.univar Univariate Analysis of a Single Variable
sensSpec Sensitivity and Specificity Analysis of a 2x2 Matrix
summary.corXY Correlation of Two Vectors
summary.diffDetect Mean Difference Detetion Tool
summary.epi2x2 Epidemiological 2x2 Contingency Table Analysis Tool
summary.epiKappa Computation of the Kappa Statistic for Agreement Between Two Raters
summary.epiTTest Epidemiological T-Test Function
summary.mcNemar Pair-Matched Analysis Tool
summary.n4means Number of Subjects Required for a Randomized Trial with a Continuous Outcome
summary.n4props Number of Subjects Required for a Randomized Trial with Binary Outcomes
summary.sensSpec Sensitivity and Specificity Analysis of a 2x2 Matrix
summary.univar Univariate Analysis of a Single Variable
univar Univariate Analysis of a Single Variable