###impoting the data set
library(readr)
drought <- read_csv("~/yield/drought.csv")
## Parsed with column specification:
## cols(
## rep = col_double(),
## blk = col_double(),
## plot = col_double(),
## entry = col_double(),
## pedigree = col_character(),
## year = col_double(),
## gyd = col_double(),
## ad = col_double(),
## asi = col_double(),
## ph = col_double(),
## eh = col_double(),
## epp = col_double(),
## np = col_double(),
## canopeo1 = col_double(),
## canopeo2 = col_double(),
## canopeo3 = col_double(),
## sen1 = col_double(),
## sen2 = col_double()
## )
View(drought)
attach(drought)
names(drought)
## [1] "rep" "blk" "plot" "entry" "pedigree" "year"
## [7] "gyd" "ad" "asi" "ph" "eh" "epp"
## [13] "np" "canopeo1" "canopeo2" "canopeo3" "sen1" "sen2"
``{r} ##loading the required packages library(lme4) library(lmerTest) library(ggplot2) library(psych) library(agricolae) require(MASS) library(Hmisc) library(lubridate) # for working with dates library(scales) # to access breaks/formatting functions library(gridExtra) # for arranging plots library(ggthemes)
```
co<-data.frame(gyd,ad,asi,ph,eh,epp,sen1,sen2)
library(PerformanceAnalytics)
## Loading required package: xts
## Loading required package: zoo
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
##
## Attaching package: 'PerformanceAnalytics'
## The following object is masked from 'package:graphics':
##
## legend
chart.Correlation(co)
library(psych)
pairs.panels(co)