Rd file 'boot.error.Rd':
  \examples lines wider than 100 characters:
     #this runs mdr with 5-fold cross-validation on a subset of the sample data, considering all pairwise combinations (K=2)
     #calculates bootstrap estimate from b=100 bootstrap samples of the sample data for the previously fit MDR object 'fit', assuming the po ... [TRUNCATED]

Rd file 'mdr.3WS.Rd':
  \usage lines wider than 90 characters:
     mdr.3WS(data, K, x = NULL, proportion = NULL, ratio = NULL, equal = "HR", genotype = c(0, 1, 2))
  \examples lines wider than 100 characters:
     fit<-mdr.3WS(data=mdr1[,1:11], K=3, x = NULL, proportion = NULL, ratio = NULL, equal = "HR", genotype = c(0, 1, 2)) #fit MDR with 3WS t ... [TRUNCATED]
     plot(fit, data=mdr1) #create contingency plot of best MDR model; may need to expand the plot window for large values of K

Rd file 'mdr.Rd':
  \examples lines wider than 100 characters:
     #define matrix of all two-way combinations of 15 SNPs; this 105 by 2 matrix defines the 105 combinations of two-way interactions to con ... [TRUNCATED]
     #this runs mdr on the sample data, considering the two-way combinations in 'loci', saving the top 5 models, and defining the threshold  ... [TRUNCATED]

Rd file 'mdr.ca.adj.Rd':
  \examples lines wider than 100 characters:
     #this runs mdr with 5-fold cross-validation on a subset of the sample data, considering all pairwise combinations (K=2)
     #calculates adjusted CA estimate from the sample data for the previously fit MDR object 'fit', assuming the population prevalence is 10 ... [TRUNCATED]

Rd file 'mdr.cv.Rd':
  \examples lines wider than 100 characters:
     fit<-mdr.cv(data=mdr1[,1:11], K=2, cv=5, ratio = NULL, equal = "HR", genotype = c(0, 1, 2)) #fit MDR with 5-fold cross-validation to a  ... [TRUNCATED]
     plot(fit, data=mdr1) #create contingency plot of best MDR model; may need to expand the plot window for large values of K

Rd file 'mdr.hr.Rd':
  \examples lines wider than 100 characters:
     #define matrix of all two-way combinations of 15 SNPs; this 105 by 2 matrix defines the 105 combinations of two-way interactions to con ... [TRUNCATED]
     #this runs mdr on the training data, considering the two-way combinations in 'loci', saving the top model, and defining the threshold a ... [TRUNCATED]

Rd file 'permute.mdr.Rd':
  \usage lines wider than 90 characters:
     permute.mdr(accuracy, loci, N.permute, method = c("CV", "3WS", "none"), data, cv, K, x = NULL, proportion = NULL, ratio = NULL, equal = ... [TRUNCATED]
  \examples lines wider than 100 characters:
     perm<-permute.mdr(accuracy=acc, loci=loc, N.permute=10, method="3WS",data=mdr1[,1:11], K=2, LRT=TRUE)

These lines will be truncated in the PDF manual.