Aqui irei carregara os pacotes
library(ggplot2)
library(tidyverse)
library(agricolae)
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summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
head(cars)
## speed dist
## 1 4 2
## 2 4 10
## 3 7 4
## 4 7 22
## 5 8 16
## 6 9 10
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setwd("C:/Users/odlav/Dropbox/Scripts/Graficos")
dados = read.csv("sev_data.csv")
head(dados)
## trial severity mse active_ingredient year spray location state
## 1 202 0.1 9.90909 trif_prot 2012 2 MAFRA SC
## 2 3 0.1 6.53177 azox_cypr 2005 2 UBERABA MG
## 3 3 0.1 6.53177 tebu 2005 2 UBERABA MG
## 4 8 0.1 0.34482 azox_cypr 2005 2 GUARAPUAVA PR
## 5 7 0.1 6.41161 tebu 2005 2 IPAMERI GO
## 6 7 0.1 6.41161 azox_cypr 2005 2 IPAMERI GO
dados %>%
ggplot(aes(reorder(active_ingredient, severity), severity)) +
geom_jitter(width = 0.2)+
geom_boxplot(fill = "red", alpha = 0.3)
dados %>% filter(active_ingredient %in% c("check","tebu" )) %>%
ggplot(aes(as.factor(year), severity, fill = active_ingredient))+
geom_boxplot()