Mercurial > repos > greg > insect_phenology_model
changeset 34:17f9578b7391 draft
Uploaded
| author | greg |
|---|---|
| date | Thu, 09 Nov 2017 13:39:29 -0500 |
| parents | a374a8fab830 |
| children | 21e8dc696db3 |
| files | insect_phenology_model.R |
| diffstat | 1 files changed, 5 insertions(+), 5 deletions(-) [+] |
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--- a/insect_phenology_model.R Thu Nov 09 13:34:22 2017 -0500 +++ b/insect_phenology_model.R Thu Nov 09 13:39:29 2017 -0500 @@ -200,8 +200,8 @@ # Read in the input temperature datafile into a Data Frame object. temperature_data <- read.csv(file=opt$input, header=T, sep=",") -date <- temperature_data[c(1:1), 3] -year <- substr(date, 1, 4) +start_date <- temperature_data[c(1:1), 3] +end_date <- temperature_data[c(1:opt$num_days), 3] raw_data_matrix <- matrix(rep(0, opt$num_days * 6), nrow=opt$num_days) temperature_file_path <- convert_csv_to_rdata(temperature_data, raw_data_matrix) latitude <- temperature_data[1, 1] @@ -588,7 +588,7 @@ par(mar = c(5, 6, 4, 4), mfrow=c(3, 1)) # Subfigure 2: population size by life stage -title <- paste(opt$location, year, "BSMB Total Population Size by Life Stage", sep=" ") +title <- paste(opt$location, start_date, "to", end_date, "BSMB Total Population Size by Life Stage", sep=" ") plot(day.all, sa, main=title, type="l", ylim=c(0, max(se + se.se, sn + sn.se, sa + sa.se)), axes=F, lwd=2, xlab="", ylab="Number", cex=2, cex.lab=2, cex.axis=2, cex.main=2) # Young and old nymphs. lines(day.all, sn, lwd=2, lty=1, col=2) @@ -612,7 +612,7 @@ } # Subfigure 3: population size by generation -title <- paste(opt$location, year, "BSMB Total Population Size by Generation", sep=" ") +title <- paste(opt$location, start_date, "to", end_date, "BSMB Total Population Size by Generation", sep=" ") plot(day.all, g0, main=title, type="l", ylim=c(0, max(g2)), axes=F, lwd=2, xlab="", ylab="Number", cex=2, cex.lab=2, cex.axis=2, cex.main=2) lines(day.all, g1, lwd = 2, lty = 1, col = 2) lines(day.all, g2, lwd = 2, lty = 1, col = 4) @@ -634,7 +634,7 @@ } # Subfigure 4: adult population size by generation -title <- paste(opt$location, year, "BSMB Adult Population Size by Generation", sep=" ") +title <- paste(opt$location, start_date, "to", end_date, "BSMB Adult Population Size by Generation", sep=" ") plot(day.all, g0a, ylim=c(0, max(g2a) + 100), main=title, type="l", axes=F, lwd=2, xlab="Year", ylab="Number", cex=2, cex.lab=2, cex.axis=2, cex.main=2) lines(day.all, g1a, lwd = 2, lty = 1, col = 2) lines(day.all, g2a, lwd = 2, lty = 1, col = 4)