require(survival) kma <- survfit( Surv(time, status) ~ rx + adhere, data=colon ) kmplot(kma, mark='', simple=FALSE, xaxis.at=c(0,.5,1:9)*365, xaxis.lab=c(0,.5,1:9), # n.risk.at lty.surv=c(1,2), lwd.surv=1, col.surv=c(1,1,2,2,4,4), # survival.curves col.ci=0, # confidence intervals not plotted group.names=c('Obs ','Obs tumor adh','Lev','Lev tumor adh','Lev+5FU ','Lev+5FU tumor adh'), group.order=c(5,3,1,6,4,2), # order of appearance in the n.risk.at table and legend. extra.left.margin=6, label.n.at.risk=FALSE, draw.lines=TRUE, cex.axis=.8, xlab='Years', ylab='Survival Probability', # labels grid=TRUE, lty.grid=1, lwd.grid=1, col.grid=grey(.9), legend=TRUE, loc.legend='bottomleft', cex.lab=.8, xaxs='r', bty='L', las=1, tcl=-.2 # other parameters passed to plot() ) title(main='Chemotherapy for stage B/C colon cancer', adj=.1, font.main=1, line=0.5, cex.main=1)
set.seed(100) age <- rnorm(80, rep(c(26,36), c(70,10)), 4) sex <- factor( sample(c('Female','Male'), 80, TRUE) ) group <- paste('Group ', sample(1:4, 40, prob=c(2,5,4,1), replace=TRUE), sep='') d <- data.frame(age, sex, group) tplot( age ~ group, data=d, las=1, cex=1, cex.axis=1, bty='L', show.n=TRUE, dist=.25, jit=.05, type=c('db','db','db','d'), group.pch=TRUE, pch=c(15,17,19,8), col=c('darkred','darkblue')[c(sex)], boxcol=c('lightsteelblue1','lightyellow1',grey(.9), 0), boxborder=grey(.8), boxplot.pars=list(notch=TRUE, boxwex=.5) )
set.seed(274) x <- rnorm(100, 20, 5) y <- rexp(100) levels <- as.factor(sample(c("Male","Female"), 100, TRUE)) jmplot(x, y, levels, col=levels, las=1, type='db', main='Some scores', jit=.02)
set.seed(6) x <- round(rnorm(400, 100, 4)) y <- round(rnorm(400, 200, 4)) sex <- sample(c('Female','Male'), 400, T) dsplot(y ~ x, pch=19, col=1+(sex=='Female'), cex=.6, bkgr=T, xlab='measurement 1', ylab='measurement 2', bty='L') legend( 'bottomright', pch=19, col=1:2, legend=c('Male','Female'), cex=.8 )
In R, there are 657 named colors. The following funciton, show.colors(), shows these colors and corresponding numbers.
Find the color you like in the plot. You can find the name of the color by running >colors()[number].
show.colors <- function(){ par(mfrow=c(1,1)) # par(mai=c(.4,.4,.4,.4), oma=c(.2,0,0,.2)) x <- 22 ; y <- 30 plot(c(-1,x),c(-1,y), xlab='', ylab='', type='n', xaxt='n', yaxt='n', bty='n') for(i in 1:x){for(j in 1:y){ k <- y*(i-1)+j ; co <- colors()[k] rect(i-1, j-1, i, j, col=co, border=grey(.5) )}} text(rep(-.5,y),(1:y)-.5, 1:y, cex=1.2-.016*y) text((1:x)-.5, rep(-.5,x), y*(0:(x-1)), cex=1.2-.022*x) title('col=colors()[n]') } > colors()[465] [1] "mediumorchid3"
I | Attachment | Action | Size | Date | Who | Comment |
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Beatlesongs072108.csv | manage | 10.3 K | 10 Oct 2008 - 17:18 | TatsukiKoyama | |
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BeatlesongsPoster.pdf | manage | 66.8 K | 10 Oct 2008 - 17:11 | TatsukiKoyama | |
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BeatlesongsPoster2.pdf | manage | 66.9 K | 10 Oct 2008 - 18:05 | TatsukiKoyama | |
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Poster3.pdf | manage | 69.2 K | 22 Nov 2016 - 16:31 | TatsukiKoyama | |
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RFunctions0.R | manage | 27.0 K | 19 May 2017 - 12:09 | TatsukiKoyama | |
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RFunctions071817.R | manage | 11.1 K | 18 Jul 2017 - 03:07 | TatsukiKoyama | |
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RFunctions1.R | manage | 28.5 K | 29 Oct 2020 - 15:45 | TatsukiKoyama | |
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RFunctions2.R | manage | 16.3 K | 29 Oct 2020 - 15:44 | TatsukiKoyama | |
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RFunctions3.R | manage | 12.8 K | 29 Oct 2020 - 15:45 | TatsukiKoyama | |
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TatsukiRcodeFormatSum.R | manage | 3.4 K | 11 May 2017 - 00:05 | TatsukiKoyama | |
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TatsukiRcodeMisc.R | manage | 5.7 K | 11 May 2017 - 00:05 | TatsukiKoyama | |
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TextBox.R | manage | 13.2 K | 11 Apr 2014 - 11:49 | TatsukiKoyama | |
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TextBoxExample.r | manage | 2.2 K | 10 Oct 2008 - 16:33 | TatsukiKoyama | |
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Three3.R | manage | 2.7 K | 11 Feb 2020 - 11:32 | TatsukiKoyama | |
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USEFUL.R | manage | 32.7 K | 11 May 2017 - 00:05 | TatsukiKoyama | |
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USEFUL.r | manage | 32.7 K | 11 Nov 2008 - 09:20 | TatsukiKoyama | |
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ap21.csv | manage | 10.9 K | 03 Aug 2011 - 12:11 | TatsukiKoyama | needed in computation on 3+3 designs: http://data.vanderbilt.edu/~koyamat/brew/t33.html |
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ap31.csv | manage | 60.9 K | 03 Aug 2011 - 12:11 | TatsukiKoyama | |
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ap32.csv | manage | 90.8 K | 03 Aug 2011 - 12:12 | TatsukiKoyama | |
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ap41.csv | manage | 264.1 K | 03 Aug 2011 - 12:13 | TatsukiKoyama | |
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ap42.csv | manage | 325.0 K | 03 Aug 2011 - 12:13 | TatsukiKoyama | |
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ap51.csv | manage | 1017.9 K | 03 Aug 2011 - 12:13 | TatsukiKoyama | |
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ap52.csv | manage | 1122.6 K | 03 Aug 2011 - 12:13 | TatsukiKoyama | |
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ap53.csv | manage | 1996.2 K | 03 Aug 2011 - 12:13 | TatsukiKoyama | |
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ap61.csv | manage | 3622.9 K | 03 Aug 2011 - 12:13 | TatsukiKoyama | |
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ap62.csv | manage | 3713.3 K | 03 Aug 2011 - 12:14 | TatsukiKoyama | |
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ap63.csv | manage | 5637.9 K | 03 Aug 2011 - 12:14 | TatsukiKoyama | |
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beatlesongs2012.R | manage | 14.2 K | 14 May 2020 - 09:58 | TatsukiKoyama | |
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beatlesongs2012.csv | manage | 15.4 K | 03 Mar 2012 - 20:48 | TatsukiKoyama | |
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dspExample.png | manage | 7.1 K | 06 Jan 2011 - 14:56 | TatsukiKoyama | |
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f1Scores.R | manage | 3.4 K | 01 Aug 2022 - 15:13 | TatsukiKoyama | |
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f1score.R | manage | 3.1 K | 01 Aug 2022 - 14:49 | TatsukiKoyama | |
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jmplotExample1.png | manage | 8.9 K | 07 Dec 2011 - 16:48 | TatsukiKoyama | |
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kmplotExample.png | manage | 11.6 K | 17 Dec 2011 - 16:41 | TatsukiKoyama | |
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koyama.css | manage | 0.3 K | 03 Jan 2012 - 13:26 | TatsukiKoyama | |
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tplotExample.png | manage | 6.1 K | 07 Dec 2011 - 13:04 | TatsukiKoyama | |
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twostage2018Web.R | manage | 0.1 K | 16 Jun 2020 - 13:17 | TatsukiKoyama | |
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twostage2020Web.R | manage | 5.3 K | 05 Aug 2021 - 12:04 | TatsukiKoyama |