diff --git a/DESCRIPTION b/DESCRIPTION index 1a5e9fd..763e4a9 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: qqman Title: Q-Q and manhattan plots for GWAS data -Version: 0.1.0 +Version: 0.1.1 Author: Stephen Turner Maintainer: Stephen Turner Description: Q-Q and manhattan plots for GWAS data diff --git a/inst/doc/qqman.Rmd b/inst/doc/qqman.Rmd index b5a9dff..cb954be 100644 --- a/inst/doc/qqman.Rmd +++ b/inst/doc/qqman.Rmd @@ -44,7 +44,7 @@ gwasResults <- d save(gwasResults, file="data/gwasResults.RData") ``` -The **manhattan** package includes functions for creating manhattan plots and q-q plots from GWAS results. The `gwasResults` data.frame included with the package has simulated results for 16,470 SNPs on 22 chromosomes. Take a look at the data: +The **qqman** package includes functions for creating manhattan plots and q-q plots from GWAS results. The `gwasResults` data.frame included with the package has simulated results for 16,470 SNPs on 22 chromosomes. Take a look at the data: ```{r} str(gwasResults) diff --git a/inst/doc/qqman.html b/inst/doc/qqman.html index 2464446..bcf3119 100644 --- a/inst/doc/qqman.html +++ b/inst/doc/qqman.html @@ -60,6 +60,7 @@ body { max-width: 800px; margin: auto; + padding: 1em; line-height: 20px; } @@ -67,28 +68,28 @@ font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Monaco, monospace; } -h1 { - font-size:2.2em; +h1 { + font-size:2.2em; } -h2 { - font-size:1.8em; +h2 { + font-size:1.8em; } -h3 { - font-size:1.4em; +h3 { + font-size:1.4em; } -h4 { - font-size:1.0em; +h4 { + font-size:1.0em; } -h5 { - font-size:0.9em; +h5 { + font-size:0.9em; } -h6 { - font-size:0.8em; +h6 { + font-size:0.8em; } a:visited { @@ -132,54 +133,54 @@ } @media print { - * { - background: transparent !important; - color: black !important; - filter:none !important; - -ms-filter: none !important; + * { + background: transparent !important; + color: black !important; + filter:none !important; + -ms-filter: none !important; } - body { - font-size:12pt; - max-width:100%; + body { + font-size:12pt; + max-width:100%; } - - a, a:visited { - text-decoration: underline; + + a, a:visited { + text-decoration: underline; } - hr { + hr { visibility: hidden; page-break-before: always; } - pre, blockquote { - padding-right: 1em; - page-break-inside: avoid; + pre, blockquote { + padding-right: 1em; + page-break-inside: avoid; } - tr, img { - page-break-inside: avoid; + tr, img { + page-break-inside: avoid; } - img { - max-width: 100% !important; + img { + max-width: 100% !important; } - @page :left { - margin: 15mm 20mm 15mm 10mm; + @page :left { + margin: 15mm 20mm 15mm 10mm; } - - @page :right { - margin: 15mm 10mm 15mm 20mm; + + @page :right { + margin: 15mm 10mm 15mm 20mm; } - p, h2, h3 { - orphans: 3; widows: 3; + p, h2, h3 { + orphans: 3; widows: 3; } - h2, h3 { - page-break-after: avoid; + h2, h3 { + page-break-after: avoid; } } @@ -196,7 +197,7 @@

Intro to the qqman package

-

The manhattan package includes functions for creating manhattan plots and q-q plots from GWAS results. The gwasResults data.frame included with the package has simulated results for 16,470 SNPs on 22 chromosomes. Take a look at the data:

+

The qqman package includes functions for creating manhattan plots and q-q plots from GWAS results. The gwasResults data.frame included with the package has simulated results for 16,470 SNPs on 22 chromosomes. Take a look at the data:

str(gwasResults)
 
diff --git a/vignettes/qqman.Rmd b/vignettes/qqman.Rmd index b5a9dff..cb954be 100644 --- a/vignettes/qqman.Rmd +++ b/vignettes/qqman.Rmd @@ -44,7 +44,7 @@ gwasResults <- d save(gwasResults, file="data/gwasResults.RData") ``` -The **manhattan** package includes functions for creating manhattan plots and q-q plots from GWAS results. The `gwasResults` data.frame included with the package has simulated results for 16,470 SNPs on 22 chromosomes. Take a look at the data: +The **qqman** package includes functions for creating manhattan plots and q-q plots from GWAS results. The `gwasResults` data.frame included with the package has simulated results for 16,470 SNPs on 22 chromosomes. Take a look at the data: ```{r} str(gwasResults)