From 13bec33db5a6dc02ec5ee3b0521240d74787a6ea Mon Sep 17 00:00:00 2001 From: milesmedina <44986194+milesmedina@users.noreply.github.com> Date: Thu, 13 Jun 2024 12:03:23 -0400 Subject: [PATCH] changed chl range extended max chl in LH plots and limited annual mean chl to non-zero Pyro months in RH plots --- R/pyro-max_chl-mean.R | 12 ++++++------ R/pyro-med_chl-mean.R | 12 ++++++------ figs/pyro-max_chl-mean.png | Bin 543654 -> 589625 bytes figs/pyro-med_chl-mean.png | Bin 552270 -> 594699 bytes 4 files changed, 12 insertions(+), 12 deletions(-) diff --git a/R/pyro-max_chl-mean.R b/R/pyro-max_chl-mean.R index 5803591..56335c8 100644 --- a/R/pyro-max_chl-mean.R +++ b/R/pyro-max_chl-mean.R @@ -49,7 +49,7 @@ for( subseg in subsegs ){ # Calculate pyro distn statistics # initiate dataframe - pyro_chl <- data.frame( chl = seq(4,12,0.1), + pyro_chl <- data.frame( chl = seq(4,25,0.1), median = NA, min = NA, lwr_iqr = NA, @@ -75,7 +75,7 @@ for( subseg in subsegs ){ expression(10^5), expression(10^6), expression(10^7) ) ) abline( h = axTicks(2), col = rgb(0,0,0,0.1) ) - abline( v = 0:20, col = rgb(0,0,0,0.1) ) + abline( v = min(pyro_chl$chl):max(pyro_chl$chl), col = rgb(0,0,0,0.1) ) polygon( x = c( pyro_chl$chl, rev(pyro_chl$chl) ), y = c( pyro_chl$min, rev(pyro_chl$max) ), col = rgb(0,0.2,0.6,0.1), border = rgb(0,0,0,0) ) @@ -85,8 +85,8 @@ for( subseg in subsegs ){ segments( x0 = 9.3, y0 = 0, y1 = pyro_chl$upr_iqr[which(pyro_chl$chl==9.3)], lty = 2, col = 2 ) - text( x = 9.3, y = pyro_chl$lwr_iqr[which(pyro_chl$chl==9.3)], - col = 2, labels = "9.3 ug/L", pos = 2, srt = 90 ) + text( x = 9.3, y = pyro_chl$upr_iqr[which(pyro_chl$chl==9.3)], + col = 2, labels = "9.3 ug/L", pos = 4, srt = 90 ) segments( x0 = 0, x1 = 9.3, y0 = pyro_chl$median[which(pyro_chl$chl==9.3)], lty = 2, col = 2 ) @@ -114,7 +114,7 @@ for( subseg in subsegs ){ # populate rows for( i in 1:nrow(chl_year) ){ # subset chl data by year - this <- epcwq3.sub$value[ which( year(epcwq3.sub$month)==chl_year$year[i] ) ] + this <- pcdat$chl[ which( year(pcdat$month)==chl_year$year[i] ) ] # add output to chl_year dataframe chl_year[i,2:6] <- data.frame( mean = mean(this), lwr_1sd = mean(this)-sd(this), @@ -126,7 +126,7 @@ for( subseg in subsegs ){ # Plot annual mean chl values with 9.3 ug/L threshold plot( mean ~ year, data = chl_year, type = 'l', las = 1, - main = paste0( subseg, " OTB\nAnnual mean chlorophyll-a concentration" ), + main = paste0( subseg, " OTB\nAnnual mean chl-a (non-zero Pyro months)" ), ylim = c(0,50), ylab = "Chlorophyll a (ug/L)", xlab = "", lwd = 2, col = rgb(0,0.2,0.6,0.7)) diff --git a/R/pyro-med_chl-mean.R b/R/pyro-med_chl-mean.R index 169ba90..473bd3d 100644 --- a/R/pyro-med_chl-mean.R +++ b/R/pyro-med_chl-mean.R @@ -49,7 +49,7 @@ for( subseg in subsegs ){ # Calculate pyro distn statistics # initiate dataframe - pyro_chl <- data.frame( chl = seq(4,12,0.1), + pyro_chl <- data.frame( chl = seq(4,25,0.1), median = NA, min = NA, lwr_iqr = NA, @@ -75,7 +75,7 @@ for( subseg in subsegs ){ expression(10^5), expression(10^6), expression(10^7) ) ) abline( h = axTicks(2), col = rgb(0,0,0,0.1) ) - abline( v = 0:20, col = rgb(0,0,0,0.1) ) + abline( v = min(pyro_chl$chl):max(pyro_chl$chl), col = rgb(0,0,0,0.1) ) polygon( x = c( pyro_chl$chl, rev(pyro_chl$chl) ), y = c( pyro_chl$min, rev(pyro_chl$max) ), col = rgb(0,0.2,0.6,0.1), border = rgb(0,0,0,0) ) @@ -85,8 +85,8 @@ for( subseg in subsegs ){ segments( x0 = 9.3, y0 = 0, y1 = pyro_chl$upr_iqr[which(pyro_chl$chl==9.3)], lty = 2, col = 2 ) - text( x = 9.3, y = pyro_chl$lwr_iqr[which(pyro_chl$chl==9.3)], - col = 2, labels = "9.3 ug/L", pos = 2, srt = 90 ) + text( x = 9.3, y = pyro_chl$upr_iqr[which(pyro_chl$chl==9.3)], + col = 2, labels = "9.3 ug/L", pos = 4, srt = 90 ) segments( x0 = 0, x1 = 9.3, y0 = pyro_chl$median[which(pyro_chl$chl==9.3)], lty = 2, col = 2 ) @@ -114,7 +114,7 @@ for( subseg in subsegs ){ # populate rows for( i in 1:nrow(chl_year) ){ # subset chl data by year - this <- epcwq3.sub$value[ which( year(epcwq3.sub$month)==chl_year$year[i] ) ] + this <- pcdat$chl[ which( year(pcdat$month)==chl_year$year[i] ) ] # add output to chl_year dataframe chl_year[i,2:6] <- data.frame( mean = mean(this), lwr_1sd = mean(this)-sd(this), @@ -126,7 +126,7 @@ for( subseg in subsegs ){ # Plot annual mean chl values with 9.3 ug/L threshold plot( mean ~ year, data = chl_year, type = 'l', las = 1, - main = paste0( subseg, " OTB\nAnnual mean chlorophyll-a concentration" ), + main = paste0( subseg, " OTB\nAnnual mean chl-a (non-zero Pyro months)" ), ylim = c(0,50), ylab = "Chlorophyll a (ug/L)", xlab = "", lwd = 2, col = rgb(0,0.2,0.6,0.7)) diff --git a/figs/pyro-max_chl-mean.png b/figs/pyro-max_chl-mean.png index 0a8c81a9e9ce72635aa328ecadd4a98d73a4f63e..758d93c3110ba51c65218a296a3c55fab2860633 100644 GIT binary patch literal 589625 zcmeFZ2Uk=}v@P5M2Sq?7Cxu4IQF4X`C5eCtG#Lb%Ad+(qDx$;&Bqt?GmJE^<5SlDe zG9p=$(tj_Fc_ht!o#O9 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