@@ -10,7 +10,7 @@ vignette: >
1010---
1111
1212``` {r options, include = FALSE}
13- knitr::opts_chunk$set(comment = NA, purl = FALSE, dpi = 96)
13+ knitr::opts_chunk$set(comment = NA, purl = FALSE, dpi = 96, fig.width = 0.5, fig.height = 0.7, dev = 'png' )
1414```
1515
1616``` {r render-how-to, include = FALSE, eval = FALSE, echo = FALSE}
@@ -589,7 +589,9 @@ create.pgs.density.plot(
589589 pgs.data = pgs.results.with.phenotype.analysis$pgs.output,
590590 output.dir = temp.dir,
591591 filename.prefix = 'vignette-example-basic',
592- file.extension = 'png'
592+ file.extension = 'png',
593+ width = 5,
594+ height = 5
593595 )
594596
595597```
@@ -617,7 +619,10 @@ create.pgs.density.plot(
617619 filename.prefix = 'vignette-example-phenotype',
618620 file.extension = 'png',
619621 tidy.titles = TRUE,
620- phenotype.columns = c('binary.factor.phenotype', 'categorical.phenotype', 'continuous.phenotype')
622+ phenotype.columns = c('binary.factor.phenotype', 'categorical.phenotype', 'continuous.phenotype'),
623+ width = 5,
624+ height = 7,
625+ yaxes.cex = 1.2
621626 )
622627
623628```
@@ -638,7 +643,9 @@ create.pgs.boxplot(
638643 pgs.data = pgs.results.with.phenotype.analysis$pgs.output,
639644 output.dir = temp.dir,
640645 filename.prefix = 'vignette-example-basic',
641- file.extension = 'png'
646+ file.extension = 'png',
647+ width = 4,
648+ height = 4
642649 )
643650
644651```
@@ -666,10 +673,11 @@ create.pgs.boxplot(
666673 file.extension = 'png',
667674 tidy.titles = TRUE,
668675 add.stripplot = FALSE,
669- width = 8 ,
676+ width = 5 ,
670677 height = 11,
671678 alpha = 0.9,
672- phenotype.columns = c('binary.factor.phenotype', 'categorical.phenotype', 'continuous.phenotype')
679+ phenotype.columns = c('binary.factor.phenotype', 'categorical.phenotype', 'continuous.phenotype'),
680+ titles.cex = 1.2
673681 )
674682
675683```
@@ -692,12 +700,14 @@ create.pgs.with.continuous.phenotype.plot(
692700 filename.prefix = 'vignette-example-correlation',
693701 file.extension = 'png',
694702 tidy.titles = TRUE,
695- phenotype.columns = c('continuous.phenotype', 'categorical.phenotype')
703+ phenotype.columns = c('continuous.phenotype', 'categorical.phenotype'),
704+ width = 5,
705+ height = 5
696706 )
697707
698708```
699709
700- ``` {r out.width = '70 %', echo = FALSE}
710+ ``` {r out.width = '50 %', echo = FALSE}
701711knitr::include_graphics(file.path(temp.dir, correlation.filename));
702712```
703713
@@ -727,7 +737,9 @@ create.pgs.rank.plot(
727737 pgs.data = pgs.results.with.phenotype.analysis$pgs.output,
728738 output.dir = temp.dir,
729739 filename.prefix = 'vignette-example-basic',
730- file.extension = 'png'
740+ file.extension = 'png',
741+ width = 5,
742+ height = 6
731743 )
732744
733745```
@@ -745,7 +757,9 @@ create.pgs.rank.plot(
745757 output.dir = temp.dir,
746758 filename.prefix = 'vignette-example-phenotype',
747759 file.extension = 'png',
748- phenotype.columns = c('binary.factor.phenotype', 'binary.phenotype', 'categorical.phenotype', 'continuous.phenotype')
760+ phenotype.columns = c('binary.factor.phenotype', 'binary.phenotype', 'categorical.phenotype', 'continuous.phenotype'),
761+ width = 6,
762+ height = 8
749763 )
750764
751765```
@@ -780,7 +794,10 @@ pgs.case.control.analysis <- analyze.pgs.binary.predictiveness(
780794 phenotype.column = 'binary.phenotype',
781795 output.dir = temp.dir,
782796 filename.prefix = 'vignette-example-basic',
783- file.extension = 'png'
797+ file.extension = 'png',
798+ width = 5,
799+ height = 5,
800+ titles.cex = 1.2
784801 );
785802```
786803
@@ -801,7 +818,10 @@ pgs.case.control.analysis.continuous <- analyze.pgs.binary.predictiveness(
801818 cutoff.threshold = 0, # binarize at 0
802819 output.dir = temp.dir,
803820 filename.prefix = 'vignette-example-continuous',
804- file.extension = 'png'
821+ file.extension = 'png',
822+ width = 5,
823+ height = 5,
824+ titles.cex = 1.2
805825 );
806826```
807827
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