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Sean Lucey
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Code for interpretting results and table with results
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R/table_for_plotting.R

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library(data.table); library(here)
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files <- as.data.table(dir(here::here('WSS28model', 'data neutrals')))
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#only use .RData
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files <- files[V1 %like% '.RData']
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all.results <- c()
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for(isim in 1:nrow(files)){
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load(here::here('WSS28model', 'data neutrals', files[isim, ]))
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#Create output data.tablereg
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model <- gsub(".*neu(.*)\\..*", "\\1", files[isim, ])
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groups <- dimnames(results)[[1]]
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neg <- results[, 1]
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neu <- results[, 2]
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pos <- results[, 3]
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out <- data.table(Model_name = model,
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Group = groups,
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Neg = neg,
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Neu = neu,
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Pos = pos)
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#Assign Negative, Neutral, Positive, or Mixed result
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out[Neg > 600, Symbol := 'Neg']
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out[Neu > 600, Symbol := 'Neu']
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out[Pos > 600, Symbol := 'Pos']
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out[is.na(Symbol), Symbol := 'Mix']
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#Assign Strength of dominant direction
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out[Symbol == 'Neg', Size := Neg + 0.5*Neu]
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out[Symbol == 'Pos', Size := Pos + 0.5*Neu]
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out[Symbol == 'Neu', Size := (-1 * Neg) + Pos]
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out[Symbol == 'Mix', Size := 701]
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out[Size > 599 & Size <= 700, Strength := 'Weak']
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out[Size > 700 & Size <= 900, Strength := 'Moderate']
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out[Size > 900, Strength := 'Strong']
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#Drop extra columns
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out[, c('Neg', 'Neu', 'Pos', 'Size') := NULL]
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#join
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all.results <- rbindlist(list(all.results, out))
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}
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#Jamie's code
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library(reshape2)
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library(ggplot2)
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library(gridExtra)
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require(tidyverse)
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WSS28_results_ecosQNM <- readRDS(here::here("data/WSS28_results_ecosQNM.RDS"))
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ecoQNMresults<-WSS28_results_ecosQNM %>%
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unite("scenario", Group:Direction, remove=FALSE ) %>%
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unite("Model_name", Model:model_links, remove=FALSE)
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ecoQNMresults_long<-ecoQNMresults %>%
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pivot_longer (cols= 8:35, names_to="node" ) %>%
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mutate(sign=value) %>%
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mutate(sign=case_when(sign >= 600 ~ "positive",
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sign <600 & sign >=400~ "zero",
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sign <400 ~ "negative")) %>%
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# mutate(fill=value) %>%
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mutate(scaled_value= (abs(value-500)))
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# Plot up responses as bubble plots
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dat_fishplus<- ecoQNMresults_long %>%
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filter(scenario=="Fishery_plus")
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p_fishplus<- ggplot(dat_fishplus)+
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geom_point(aes(y=node, x=Model_name,cex=scaled_value,
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pch=sign, color=sign, fill=sign)) +
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# pch=sign, color=sign, fill=fill)) +
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scale_color_manual( values=c("paleturquoise4","goldenrod3","black", "white"))+
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scale_shape_manual(values=c(25,24,4)) +
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scale_fill_manual(values=c("paleturquoise4","goldenrod3", "black", "white")) +
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theme_bw() +
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theme(axis.line = element_line(colour = "black"),
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panel.grid.major = element_blank(),
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panel.grid.minor = element_blank(),
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panel.background = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x=element_text (angle=-90, hjust=0)
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)
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dat_fishminus<- ecoQNMresults_long %>%
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filter(scenario=="Fishery_minus")
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p_fishminus<- ggplot(dat_fishminus)+
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geom_point(aes(y=node, x=Model_name,cex=scaled_value,
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pch=sign, color=sign, fill=sign)) +
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# pch=sign, color=sign, fill=fill)) +
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scale_color_manual( values=c("paleturquoise4","goldenrod3","black"))+
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scale_shape_manual(values=c(25,24,4)) +
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scale_fill_manual(values=c("paleturquoise4","goldenrod3", "black")) +
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theme_bw() +
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theme(axis.line = element_line(colour = "black"),
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panel.grid.major = element_blank(),
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panel.grid.minor = element_blank(),
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panel.background = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x=element_text (angle=-90, hjust=0)
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)
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dat_sealminus<- ecoQNMresults_long %>%
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filter(scenario=="Seal_minus")
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p_sealminus<- ggplot(dat_sealminus)+
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geom_point(aes(y=node, x=Model_name,cex=scaled_value,
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pch=sign, color=sign, fill=sign)) +
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# pch=sign, color=sign, fill=fill)) +
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scale_color_manual( values=c("paleturquoise4","goldenrod3","black"))+
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scale_shape_manual(values=c(25,24,4)) +
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scale_fill_manual(values=c("paleturquoise4","goldenrod3", "black")) +
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theme_bw() +
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theme(axis.line = element_line(colour = "black"),
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panel.grid.major = element_blank(),
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panel.grid.minor = element_blank(),
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panel.background = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x=element_text (angle=-90, hjust=0)
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)
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dat_sealplus<- ecoQNMresults_long %>%
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filter(scenario=="Seal_plus")
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p_sealplus<- ggplot(dat_sealplus)+
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geom_point(aes(y=node, x=Model_name,cex=scaled_value,
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pch=sign, color=sign, fill=sign)) +
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# pch=sign, color=sign, fill=fill)) +
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scale_color_manual( values=c("paleturquoise4","goldenrod3","black"))+
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scale_shape_manual(values=c(25,24,4)) +
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scale_fill_manual(values=c("paleturquoise4","goldenrod3", "black")) +
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theme_bw() +
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theme(axis.line = element_line(colour = "black"),
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panel.grid.major = element_blank(),
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panel.grid.minor = element_blank(),
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panel.background = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x=element_text (angle=-90, hjust=0)
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)
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dat_smallpelagicsminus<- ecoQNMresults_long %>%
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filter(scenario=="Small pelagics_minus")
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p_smallpelagicsminus<- ggplot(dat_smallpelagicsminus)+
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geom_point(aes(y=node, x=Model_name,cex=scaled_value,
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pch=sign, color=sign, fill=sign)) +
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# pch=sign, color=sign, fill=fill)) +
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scale_color_manual( values=c("paleturquoise4","goldenrod3","black"))+
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scale_shape_manual(values=c(25,24,4)) +
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scale_fill_manual(values=c("paleturquoise4","goldenrod3", "black")) +
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theme_bw() +
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theme(axis.line = element_line(colour = "black"),
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panel.grid.major = element_blank(),
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panel.grid.minor = element_blank(),
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panel.background = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x=element_text (angle=-90, hjust=0)
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)
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dat_smallpelagicsplus<- ecoQNMresults_long %>%
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filter(scenario=="Small pelagics_plus")
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p_smallpelagicsplus<- ggplot(dat_smallpelagicsplus)+
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geom_point(aes(y=node, x=Model_name,cex=scaled_value,
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pch=sign, color=sign, fill=sign)) +
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# pch=sign, color=sign, fill=fill)) +
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scale_color_manual( values=c("paleturquoise4","goldenrod3","black"))+
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scale_shape_manual(values=c(25,24,4)) +
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scale_fill_manual(values=c("paleturquoise4","goldenrod3", "black")) +
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theme_bw() +
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theme(axis.line = element_line(colour = "black"),
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panel.grid.major = element_blank(),
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panel.grid.minor = element_blank(),
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panel.background = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x=element_text (angle=-90, hjust=0)
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)
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dat_phytoplanktonminus<- ecoQNMresults_long %>%
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filter(scenario=="Phytoplankton_minus")
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p_phytoplanktonminus<- ggplot(dat_phytoplanktonminus)+
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geom_point(aes(y=node, x=Model_name,cex=scaled_value,
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pch=sign, color=sign, fill=sign)) +
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# pch=sign, color=sign, fill=fill)) +
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scale_color_manual( values=c("paleturquoise4","goldenrod3","black"))+
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scale_shape_manual(values=c(25,24,4)) +
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scale_fill_manual(values=c("paleturquoise4","goldenrod3", "black")) +
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theme_bw() +
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theme(axis.line = element_line(colour = "black"),
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panel.grid.major = element_blank(),
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panel.grid.minor = element_blank(),
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panel.background = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x=element_text (angle=-90, hjust=0)
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)
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dat_phytoplanktonplus<- ecoQNMresults_long %>%
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filter(scenario=="Phytoplankton_plus")
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p_phytoplanktonplus<- ggplot(dat_phytoplanktonplus)+
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geom_point(aes(y=node, x=Model_name,cex=scaled_value,
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pch=sign, color=sign, fill=sign)) +
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# pch=sign, color=sign, fill=fill)) +
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scale_color_manual( values=c("paleturquoise4","goldenrod3","black"))+
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scale_shape_manual(values=c(25,24,4)) +
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scale_fill_manual(values=c("paleturquoise4","goldenrod3", "black")) +
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theme_bw() +
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theme(axis.line = element_line(colour = "black"),
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panel.grid.major = element_blank(),
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panel.grid.minor = element_blank(),
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panel.background = element_blank(),
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axis.title.x=element_blank(),
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axis.title.y=element_blank(),
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axis.text.x=element_text (angle=-90, hjust=0)
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)

data/all.results.rda

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