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You can install the released version of nic fromGithub with:
#devtools::install_github("thiyangt/nic")library(nic)library(ggplot2)library(tidyr)
This is a basic example which shows you how to solve a common problem:
library(patchwork)library(here)#> here() starts at /Users/thiyangashaminitalagala/packages/nicorchid_image<- ggplot()+ annotation_custom(grid::rasterGrob(magick::image_read(here("data-raw","orchid.jpeg")),width=unit(1,"npc"),height=unit(1,"npc")),-Inf,Inf,-Inf,Inf)orchid_pal= nic_palette("orchid_12",12)ixora_pal= nic_palette("ixora_12",12)ixora_image<- ggplot()+ annotation_custom(grid::rasterGrob(magick::image_read(here("data-raw","ixora.jpeg")),width=unit(1,"npc"),height=unit(1,"npc")),-Inf,Inf,-Inf,Inf)orchid_plot<- ggplot(data.frame(x= rnorm(1e4),y= rnorm(1e4)), aes(x=x,y=y))+ geom_hex()+ coord_fixed()+ scale_fill_gradientn(colours=orchid_pal)+ ggtitle("Orchid flower")+ theme_minimal()+ theme(legend.position="bottom")ixora_plot<- ggplot(data.frame(x= rnorm(1e4),y= rnorm(1e4)), aes(x=x,y=y))+ geom_hex()+ coord_fixed()+ scale_fill_gradientn(colours=ixora_pal)+ ggtitle("Ixora flower")+ theme_minimal()+ theme(legend.position="bottom")orchid_image+ixora_image+orchid_plot+ixora_plot
moss_rose_1_image<- ggplot()+ annotation_custom(grid::rasterGrob(magick::image_read(here("data-raw","moss_rose_1.jpeg")),width=unit(1,"npc"),height=unit(1,"npc")),-Inf,Inf,-Inf,Inf)moss_rose_2_image<- ggplot()+ annotation_custom(grid::rasterGrob(magick::image_read(here("data-raw","moss_rose_2.jpeg")),width=unit(1,"npc"),height=unit(1,"npc")),-Inf,Inf,-Inf,Inf)moss_rose_3_image<- ggplot()+ annotation_custom(grid::rasterGrob(magick::image_read(here("data-raw","moss_rose_3.jpeg")),width=unit(1,"npc"),height=unit(1,"npc")),-Inf,Inf,-Inf,Inf)mean_vecs<- sample(seq(5))sd_vecs<- sample(seq(5))moss_rose_plot<- ggplot(data.frame(y= c(rnorm(1000,mean=mean_vecs,sd=sd_vecs)),x= sample(LETTERS[1:5],1000,replace=TRUE)),aes(x=x,y=y,fill=x))+ geom_boxplot()+ theme_minimal()+ scale_fill_manual(values= nic_palette("moss_rose_5"))+ theme(legend.position="none")(moss_rose_1_image+moss_rose_2_image+moss_rose_3_image)/moss_rose_plot
library(palmerpenguins)coleus_density_img<- ggplot()+ annotation_custom(grid::rasterGrob(magick::image_read(here("data-raw","coleus_density.PNG")),width=unit(1,"npc"),height=unit(2,"npc")),-Inf,Inf,-Inf,Inf)coleus_density= nic_palette("coleus_density_7",7)coleus_density_plot<- ggplot(data.frame(x= rnorm(1e4),y= rnorm(1e4)), aes(x=x,y=y))+ geom_hex()+ coord_fixed()+ scale_fill_gradientn(colours=coleus_density)+ ggtitle("coleus_density_7")coleus1a<- ggplot()+ annotation_custom(grid::rasterGrob(magick::image_read(here("data-raw","coleus1a.jpg")),width=unit(1,"npc"),height=unit(2,"npc")),-Inf,Inf,-Inf,Inf)pal<- nic_palette("coleusa_2",2)penguins2<-penguins %>% drop_na()penguinplot<- ggplot(data=penguins2, aes(y=flipper_length_mm,x=sex,fill=sex))+ geom_boxplot()+ scale_fill_manual(values=pal)+ ggtitle("colleasa_2")(coleus_density_img+coleus_density_plot+coleus1a+penguinplot)
#devtools::install_github("edwinth/paletti")library(paletti)statesMap= map_data("state")statesMap$num= rnorm(nrow(statesMap))kandyan<-knitr::include_graphics(here("data-raw","kandyan_dancer.png"))kandyan<- ggplot()+ annotation_custom(grid::rasterGrob(magick::image_read(here("data-raw","kandyan_dancer.png")),width=unit(1,"npc"),height=unit(1,"npc")),-Inf,Inf,-Inf,Inf)pal_kandyan<- nic_palette("kandyan_dancer_6",6)scale_fill_my_palette<- get_pal(pal_kandyan) %>% get_scale_fill()g2<- ggplot(statesMap, aes(x=long,y=lat,group=group,fill=num))+ geom_polygon(color="black")+ scale_fill_my_palette(discrete=FALSE)(kandyan+g2)
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