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State level initial dashed line plots #131

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merged 3 commits into from
Jan 5, 2024
Merged

State level initial dashed line plots #131

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f023f47
Initialized code for dashed lines for DoW plots
knoiva-indecon Dec 19, 2023
2036a49
Update utils_plot_DOW_bySector.R
knoiva-indecon Dec 19, 2023
ec4e499
Update utils_plot_DOW_bySector.R
knoiva-indecon Dec 19, 2023
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58 changes: 52 additions & 6 deletions FrEDI/R/utils_plot_DOW_byImpactType.R
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Original file line number Diff line number Diff line change
Expand Up @@ -156,14 +156,60 @@ plot_DOW_byImpactType <- function(
# title0 <- impType0
# subtitle0 <- variant0

###### Create the plot ######
plot0 <- df0 |> ggplot(aes(x=.data[[xCol]], y=.data[[yCol]]))
###### Add in Model info ######
if(do_gcm) {
### Get model info
select0 <- c("model_id", "maxUnitValue")
rename0 <- c("model_id")
rename1 <- c("model")
co_models <- "co_models" |> get_frediDataObj("frediData")
co_models <- co_models |> filter((modelType |> tolower()) == "gcm")
co_models <- co_models |> select(all_of(select0))
co_models <- co_models |> rename_at(vars(rename0), ~rename1)
rm(select0, rename0, rename1)
### Join model info with df0
join0 <- c("model")
df0 <- df0 |> left_join(co_models, by=c(join0))
rm(join0)
} ### if(do_gcm)

# ###### Create the plot ######
# plot0 <- df0 |> ggplot(aes(x=.data[[xCol]], y=.data[[yCol]]))
#
# ### Add Geoms
# plot0 <- plot0 + geom_line (aes(color = model))
# if(do_slr){df_points0 <- df0 |> filter(year %in% x_breaks)}
# else {df_points0 <- df0}
# plot0 <- plot0 + geom_point(data=df_points0, aes(color = model, shape=model))

### Add Geoms
plot0 <- plot0 + geom_line (aes(color = model))
if(do_slr){df_points0 <- df0 |> filter(year %in% x_breaks)}
else {df_points0 <- df0}
plot0 <- plot0 + geom_point(data=df_points0, aes(color = model, shape=model))
# plot0 <- plot0 + geom_line (aes(color = model))
# # plot0 <- plot0 + geom_point(aes(color = model))
# plot0 <- plot0 + geom_point(aes(color = model, shape=model))
if(do_gcm){
### Separate GCM values
### Plot these values as lines
df0_1 <- df0 |> filter((maxUnitValue < 6 & driverValue <= maxUnitValue) | maxUnitValue >=6)
### Plot these values as points
df0_2 <- df0 |> filter((maxUnitValue < 6 & driverValue >= maxUnitValue))
### Initialize plot
plot0 <- ggplot()
### Plot values as lines
plot0 <- plot0 + geom_line (data = df0_1, aes(x = .data[[xCol]], y = .data[[yCol]], color = .data[["model"]]), alpha=0.65)
### Plot values as points
plot0 <- plot0 + geom_point(data = df0_2, aes(x = .data[[xCol]], y = .data[[yCol]], color = .data[["model"]], shape = .data[["model"]]), alpha=0.65)
### Remove values
rm(df0_1, df0_2)
} else{
### Points data
df0_2 <- df0 |> filter(year %in% x_breaks)
### Initialize plot
plot0 <- df0 |> ggplot(aes(x = .data[[xCol]], y = .data[[yCol]], color = .data[["model"]]))
plot0 <- plot0 + geom_line (alpha=0.65)
plot0 <- plot0 + geom_point(data = df0_2, aes(x = .data[[xCol]], y = .data[[yCol]], color = .data[["model"]], shape = .data[["model"]]), alpha=0.65)
### Remove values
rm(df0_2)
} ### End if(do_gcm)

### Add Scales
# plot0 <- plot0 + scale_shape_discrete(lgdTitle0)
Expand Down
97 changes: 67 additions & 30 deletions FrEDI/R/utils_plot_DOW_bySector.R
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ plot_DOW_bySector <- function(
###### Data ######
df0 <- df0 |> filter(sector==sector0)
type0 <- df0[["model_type"]] |> unique()
do_gcm <- (type0 |> tolower()) == "gcm"
###### Sector info ######
info0 <- infoList0[["sectorInfo"]] |> filter(sector==sector0)
index0 <- info0[["sector_order"]][1]
Expand Down Expand Up @@ -77,50 +78,86 @@ plot_DOW_bySector <- function(
ggtitle0 <- options[["title" ]]
subtitle0 <- sector0
### Has plot options
hasTheme <- !is.null(theme0 )
hasMargins <- !is.null(margins0)
hasMUnits <- !is.null(mUnit0 )
hasTheme <- !is.null(theme0 )
hasMargins <- !is.null(margins0)
hasMUnits <- !is.null(mUnit0 )
### If units or no
if(!hasMUnits){mUnit0 <- "cm"}

###### Add in Model info ######
if(do_gcm) {
### Get model info
select0 <- c("model_id", "maxUnitValue")
rename0 <- c("model_id")
rename1 <- c("model")
co_models <- "co_models" |> get_frediDataObj("frediData")
co_models <- co_models |> filter((modelType |> tolower()) == "gcm")
co_models <- co_models |> select(all_of(select0))
co_models <- co_models |> rename_at(vars(rename0), ~rename1)
rm(select0, rename0, rename1)
### Join model info with df0
join0 <- c("model")
df0 <- df0 |> left_join(co_models, by=c(join0))
rm(join0)
} ### if(do_gcm)

###### Create the plot ######
# df0 |> names() |> print()
# df0 |> glimpse()
plot0 <- df0 |> ggplot(aes(x=.data[[xCol]], y=.data[[yCol]]))
# plot0 <- df0 |> ggplot(aes(x=.data[[xCol]], y=.data[[yCol]], group=interaction(sector, model)))
# # df0 |> names() |> print()
# # df0 |> glimpse()
# plot0 <- df0 |> ggplot(aes(x=.data[[xCol]], y=.data[[yCol]], color=.data[["model"]]))
# # plot0 <- df0 |> ggplot(aes(x=.data[[xCol]], y=.data[[yCol]], group=interaction(sector, model)))

### Add Geoms
plot0 <- plot0 + geom_line (aes(color = model))
# plot0 <- plot0 + geom_point(aes(color = model))
plot0 <- plot0 + geom_point(aes(color = model, shape=model))
# plot0 <- plot0 + geom_line (aes(color = model))
# # plot0 <- plot0 + geom_point(aes(color = model))
# plot0 <- plot0 + geom_point(aes(color = model, shape=model))
if(do_gcm){
### Separate GCM values
### Plot these values as lines
df0_1 <- df0 |> filter((maxUnitValue < 6 & driverValue <= maxUnitValue) | maxUnitValue >=6)
### Plot these values as points
df0_2 <- df0 |> filter((maxUnitValue < 6 & driverValue >= maxUnitValue))
### Initialize plot
plot0 <- ggplot()
### Plot values as lines
plot0 <- plot0 + geom_line (data = df0_1, aes(x = .data[[xCol]], y = .data[[yCol]], color=.data[["model"]]), alpha=0.65)
### Plot values as points
plot0 <- plot0 + geom_point(data = df0_2, aes(x = .data[[xCol]], y = .data[[yCol]], color=.data[["model"]], shape = .data[["model"]]), alpha=0.65)
} else{
### Initialize plot
plot0 <- df0 |> ggplot(aes(x=.data[[xCol]], y=.data[[yCol]], color=.data[["model"]]))
### Add geoms
plot0 <- plot0 + geom_line (aes(x=.data[[xCol]], y=.data[[yCol]], color=.data[["model"]]), alpha=0.65)
plot0 <- plot0 + geom_point(aes(x=.data[[xCol]], y=.data[[yCol]], color=.data[["model"]], shape = model), alpha=0.65)
} ### End if(do_gcm)

### Add Scales
plot0 <- plot0 + scale_color_discrete(lgdTitle0)
# plot0 <- plot0 + scale_shape_discrete(lgdTitle0)
shapeLvls <- df0[["model"]] |> unique() |> sort()
numShapes <- shapeLvls |> length()
shapeVals <- c(1:numShapes)
plot0 <- plot0 + scale_color_discrete(lgdTitle0)
# plot0 <- plot0 + scale_shape_discrete(lgdTitle0)
shapeLvls <- df0[["model"]] |> unique() |> sort()
numShapes <- shapeLvls |> length()
shapeVals <- c(1:numShapes)
# shapeLvls |> print()
# plot0 <- plot0 + scale_shape_discrete(lgdTitle0)
plot0 <- plot0 + scale_shape_manual(lgdTitle0, breaks=shapeLvls, values=shapeVals)
plot0 <- plot0 + scale_x_continuous(xTitle0, limits = x_limits, breaks = x_breaks)
plot0 <- plot0 + scale_y_continuous(yTitle0, limits = y_limits, breaks = y_breaks)
# plot0 <- plot0 + scale_shape_discrete(lgdTitle0)
plot0 <- plot0 + scale_shape_manual(lgdTitle0, breaks=shapeLvls, values=shapeVals)
plot0 <- plot0 + scale_x_continuous(xTitle0, limits = x_limits, breaks = x_breaks)
plot0 <- plot0 + scale_y_continuous(yTitle0, limits = y_limits, breaks = y_breaks)

###### Add titles ######
plot0 <- plot0 + ggtitle(ggtitle0, subtitle0)
# plot0 <- plot0 + theme(panel.background = element_rect(fill="white"))
# plot0 <- plot0 + theme(panel.grid = element_line(color="lightgrey"))
# plot0 <- plot0 + theme(axis.line = element_line(color="lightgrey"))
plot0 <- plot0 + theme(plot.title = element_text(hjust = 0.5, size=12))
plot0 <- plot0 + theme(plot.subtitle = element_text(hjust = 0.5, size=9))
plot0 <- plot0 + ggtitle(ggtitle0, subtitle0)
# plot0 <- plot0 + theme(panel.background = element_rect(fill="white"))
# plot0 <- plot0 + theme(panel.grid = element_line(color="lightgrey"))
# plot0 <- plot0 + theme(axis.line = element_line(color="lightgrey"))
plot0 <- plot0 + theme(plot.title = element_text(hjust = 0.5, size=12))
plot0 <- plot0 + theme(plot.subtitle = element_text(hjust = 0.5, size=9))

###### Format Plot ######
### Legend position = bottom if refPlot; otherwise, don't show
lgdPos0 <- refPlot |> ifelse("bottom", "none")
plot0 <- plot0 + theme(legend.position = lgdPos0)
plot0 <- plot0 + theme(plot.title = element_blank())
plot0 <- plot0 + theme(axis.title = element_text(size=8))
plot0 <- plot0 + theme(axis.title.x = element_blank())
lgdPos0 <- refPlot |> ifelse("bottom", "none")
plot0 <- plot0 + theme(legend.position = lgdPos0)
plot0 <- plot0 + theme(plot.title = element_blank())
plot0 <- plot0 + theme(axis.title = element_text(size=8))
plot0 <- plot0 + theme(axis.title.x = element_blank())
###### If plotIndex>1, remove some plot elements
###### White out axis text if column > 1
if(col0 > 1){
Expand Down