Created
September 22, 2016 23:16
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un-scinote in r
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| it <- read.csv('reachNums.csv') | |
| reach <- sort(it[,c('reach')]) | |
| f2si2<-function (number, rounding=F, sep=" ") | |
| { | |
| lut <- c(1e-24, 1e-21, 1e-18, 1e-15, 1e-12, 1e-09, 1e-06, | |
| 0.001, 1, 1000, 1e+06, 1e+09, 1e+12, 1e+15, 1e+18, 1e+21, | |
| 1e+24) | |
| pre <- c("y", "z", "a", "f", "p", "n", "u", "m", "", "k", | |
| "M", "G", "T", "P", "E", "Z", "Y") | |
| ix <- findInterval(number, lut) | |
| if (ix>0 && lut[ix]!=1) { | |
| if (rounding==T) { | |
| sistring <- paste(round(number/lut[ix]), pre[ix], sep=sep) | |
| } | |
| else { | |
| sistring <- paste(number/lut[ix], pre[ix], sep=sep) | |
| } | |
| } | |
| else { | |
| sistring <- as.character(number) | |
| } | |
| return(sistring) | |
| } | |
| spos <- pretty(c(0, max(reach)+1), n=20) | |
| slb <- sapply(spos, FUN=f2si2, rounding=T, sep="") | |
| hist.data <- hist(reach,freq = T,xaxt="n",plot=F) | |
| hist.data$counts = log(hist.data$counts, 2) | |
| plot(hist.data,xaxt="n") | |
| axis(1, at=spos, labels=slb) |
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