Description Usage Format Author(s) See Also
An example data set for use with catmap
. All input data should
have the header as part of the file and either 0 or NA values for entries
not relevant to that particular study design. For example, TDT studies
should have the caserisk, controlrisk, casenotrisk and controlnotrisk
values set to either 0 or NA.
1 |
A data.frame
with 5 observations and 8 variables.
name: a factor with study name and optionally year of publication.
NOTE: if year of publication is included there must be no space between
study name and year. A comma or underscore works nicely (e.g.,
Abrams,2001
Peter,2002
Todd,2003
Wei,2007
Yu,2007
)
study: a numeric vector containing 1 if the study is TDT and 2 if the study is case-control
t: a numeric vector containing counts of alleles transmitted in the TDT study
nt: a numeric vector containing counts of alleles not transmitted in the TDT study
caserisk: a numeric vector containing counts of risk alleles in cases
controlrisk: a numeric vector containing counts of risk alleles in controls
casenotrisk: a numeric vector containing counts of non-risk alleles in cases
controlnotrisk: a numeric vector containing counts of non-risk alleles in controls
Algorithm designed and implemented by Kristin K. Nicodemus. Code modified and updated by Thom Quinn.
catmap
, catmap.forest
,
catmap.sense
, catmap.cumulative
,
catmap.funnel
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