CalcSumstats: Calculate Summary Statistics
Description
Generate summary statistics from individual-level data. Provide either a
list of data as generated by DGP
, or all of anno
, geno
,
and pheno
.
Usage
CalcSumstats(
anno = NULL,
covar = NULL,
data = NULL,
geno = NULL,
pheno = NULL,
add_intercept = TRUE,
is_binary = FALSE
)
Value
List containing the following items:
ld
: A SNP x SNP correlation (LD) matrix.
sumstats
: A SNP x 5 matrix of summary statistics, including the
. annotation, MAF, estimated effect size, standard error, and p-value.
type
: Either "binary" or "quantitative".`
Arguments
- anno
(snps x 1) annotation vector.
- covar
(subjects x covars) covariate matrix.
- data
List of data containing the annotation vector anno
, the
covariate data covar
, the genotype matrix geno
, and the phenotype
vector pheno
, as returned by DGP
. Overrides the other
arguments if provided.
- geno
(subjects x snps) genotype matrix.
- pheno
(subjects x 1) phenotype vector.
- add_intercept
Add an intercept if not present in the supplied
covariate matrix covar? Default: TRUE.
- is_binary
Is the phenotype binary? Default: FALSE.
Examples
Run this codedata <- DGP()
sumstats <- CalcSumstats(data = data)
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