summary.hapassoc | R Documentation |
Summary function for reporting the results of the hapassoc function in a similar style to the lm and glm summaries.
## S3 method for class 'hapassoc' summary(object, ...)
object |
a list of class |
... |
additional arguments to the summary function (currently unused) |
See the hapassoc vignette, of the same name as the package, for details.
call |
The function call to hapassoc |
subjects |
The number of subjects used in the analysis |
coefficients |
Table of estimated coefficients, standard errors and Wald tests for each variable |
frequencies |
Table of estimated haplotype frequencies and standard errors |
dispersion |
Estimate of dispersion parameter (Moment estimator for gamma model) |
Burkett K, McNeney B, Graham J (2004). A note on inference of trait associations with SNP haplotypes and other attributes in generalized linear models. Human Heredity, 57:200-206
Burkett K, Graham J and McNeney B (2006). hapassoc: Software for Likelihood Inference of Trait Associations with SNP Haplotypes and Other Attributes. Journal of Statistical Software, 16(2):1-19
pre.hapassoc
,hapassoc
.
data(hypoDat) example.pre.hapassoc<-pre.hapassoc(hypoDat, 3) example.regr <- hapassoc(affected ~ attr + h000+ h010 + h011 + h100 + pooled, example.pre.hapassoc, family=binomial()) # Summarize the results: summary(example.regr) # Results: #$coefficients # Estimate Std. Error zscore Pr(>|z|) #(Intercept) -1.24114270 0.7820977 -1.58694079 0.11252606 #attr 0.74036920 0.2918205 2.53707057 0.01117844 #h000 1.14968352 0.5942542 1.93466627 0.05303126 #h010 -0.59318434 0.6569672 -0.90291311 0.36657201 #h011 -0.03615243 0.9161959 -0.03945928 0.96852422 #h100 -0.85329292 1.0203105 -0.83630709 0.40298217 #pooled 0.38516864 0.8784283 0.43847478 0.66104215 # #$frequencies # Estimate Std. Error #f.h000 0.26716394 0.03933158 #f.h001 0.25191674 0.03866739 #f.h010 0.21997138 0.03881578 #f.h011 0.10094795 0.02949617 #f.h100 0.09507014 0.02371878 #f.h101 0.02584918 0.01411881 #f.h110 0.01779455 0.01386080 #f.h111 0.02128613 0.01247265 # #$dispersion #[1] 1
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.