---
title: "R Notebook"
output: html_notebook
---

This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. 

Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Cmd+Shift+Enter*. 

```{r}
library(reshape2)
library(dplyr)
library(ggplot2)

setwd("~/Desktop/Covid")

a<-read.csv('azimuth_pred.csv')
colnames(a)<-c("ours", "azimuth", 'value')

a<-a[!a$azimuth == "nan",]

a<-a %>%
  group_by(ours) %>%
  mutate(freq = value / sum(value))

a$ours[a$ours == "ILC"]<-"NK_16hi"

a<-subset(a, ours!="Doublet")

a$azimuth <- factor(a$azimuth, levels = rev(c("CD4 Naive", "CD4 TEM", "CD4 TCM", "CD4 CTL", 
                                          "CD4 Proliferating", "Treg",
                                          "CD8 Naive", "CD8 TEM", "CD8 TCM", "dnT",
                                          "CD8 Proliferating",
                                          "MAIT", "gdT", "ILC",
                                          "NK", "NK_CD56bright", "NK Proliferating",
                                          "B naive", "B intermediate", "B memory", 
                                          "Plasmablast",
                                          "ASDC", "cDC1", "cDC2", "pDC",
                                          "CD14 Mono", "CD16 Mono",
                                          "HSPC",
                                          "Eryth", "Platelet"
)))

a$ours <- factor(a$ours, levels = c("CD4.Naive", "CD4.CM", "CD4.EM", 
                                    "CD4.Th1", "CD4.Th2", "CD4.Th17", "CD4.Tfh", "CD4.IL22",
                                    "CD4.Prolif", "Treg",
                                    "CD8.Naive", "CD8.TE", "CD8.EM",
                                    "CD8.Prolif",
                                    "MAIT", "gdT", "NKT",
                                    "NK_56hi", "NK_16hi", "NK_prolif",
                                    "ILC1_3", "ILC2",
                                    "B_naive", "B_immature",
                                    "B_non-switched_memory", "B_switched_memory",
                                    "B_exhausted", "B_malignant",
                                    "Plasmablast",
                                    "Plasma_cell_IgM", "Plasma_cell_IgG", "Plasma_cell_IgA",
                                    "ASDC", "DC1", "DC2", "DC3", "pDC", "DC_prolif",
                                    "CD83_CD14_mono", "CD14_mono", 
                                    "CD16_mono", "C1_CD16_mono", "Mono_prolif",
                                    "HSC",
                                    "RBC", "Platelets"
                                    
))

ggplot(a,aes(x=ours,y=azimuth,fill=freq))+
  geom_tile(colour="white",size=0.2)+
  scale_fill_distiller(palette = "Spectral")+ theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))+coord_fixed()
```


