Homework_9
Kyle Grasso
2024-03-27
Question 1:
Creating my functions
#############################
# FUNCTION: createHatchData()
# This function creates my hatch time dataset
createHatchData <- function(nGroup = 3, nName = c("Hot","Moderate", "Cool"), nSize = c(20,20,20), nMean = c(16,21,26),nSD = c(1.25,1.1,1.1), ID = 1:(sum(nSize))) {
Hatch_time <- c(rnorm(n=nSize[1],mean=nMean[1],sd=nSD[1]),
rnorm(n=nSize[2],mean=nMean[2],sd=nSD[2]),
rnorm(n=nSize[3],mean=nMean[3],sd=nSD[3]))
Temperature <- rep(nName,nSize)
EggHatchData <- data.frame(ID,Temperature,Hatch_time)
return(EggHatchData)
}
###########################
# FUNCTION: EggHatchANOVA()
# This function performs an ANOVA on my EggHatchData using the createHatchData() function as its input
EggHatchANOVA <- function(x=createHatchData()){
EggHatchAOV <- aov(Hatch_time~Temperature,data=x)
print(summary(EggHatchAOV))
z <- summary(EggHatchAOV)
list(Fval=unlist(z)[7],probF=unlist(z)[9])
}
###########################
# FUNCTION: EggHatchPlot()
# This function plots a box and whisker plot using the createHatchData() function as its input
EggHatchPlot <- function(x=createHatchData()){
ggplot(data=x,aes(x=Temperature,y=Hatch_time,fill=Temperature)) + geom_boxplot() + scale_fill_manual(values= c("blue","red","green"))
}Running my functions
createHatchData()## ID Temperature Hatch_time
## 1 1 Hot 15.96897
## 2 2 Hot 15.34473
## 3 3 Hot 14.61324
## 4 4 Hot 16.72870
## 5 5 Hot 16.26772
## 6 6 Hot 17.47098
## 7 7 Hot 15.86554
## 8 8 Hot 16.82945
## 9 9 Hot 16.96111
## 10 10 Hot 15.31017
## 11 11 Hot 17.25140
## 12 12 Hot 14.99269
## 13 13 Hot 14.24289
## 14 14 Hot 15.01312
## 15 15 Hot 16.42939
## 16 16 Hot 15.67880
## 17 17 Hot 15.57885
## 18 18 Hot 16.70752
## 19 19 Hot 14.23622
## 20 20 Hot 15.42325
## 21 21 Moderate 21.92484
## 22 22 Moderate 21.27393
## 23 23 Moderate 23.88220
## 24 24 Moderate 20.52698
## 25 25 Moderate 21.65762
## 26 26 Moderate 20.02930
## 27 27 Moderate 20.76619
## 28 28 Moderate 20.03543
## 29 29 Moderate 22.10828
## 30 30 Moderate 21.29831
## 31 31 Moderate 21.37968
## 32 32 Moderate 19.51199
## 33 33 Moderate 21.67012
## 34 34 Moderate 21.35062
## 35 35 Moderate 21.81728
## 36 36 Moderate 19.49010
## 37 37 Moderate 21.65785
## 38 38 Moderate 18.84966
## 39 39 Moderate 19.92983
## 40 40 Moderate 23.86006
## 41 41 Cool 23.12029
## 42 42 Cool 25.96306
## 43 43 Cool 25.83880
## 44 44 Cool 26.38609
## 45 45 Cool 25.10427
## 46 46 Cool 25.36782
## 47 47 Cool 25.53106
## 48 48 Cool 23.85121
## 49 49 Cool 27.29890
## 50 50 Cool 26.78823
## 51 51 Cool 24.62284
## 52 52 Cool 24.81542
## 53 53 Cool 25.66946
## 54 54 Cool 26.11095
## 55 55 Cool 25.99804
## 56 56 Cool 27.67463
## 57 57 Cool 26.10524
## 58 58 Cool 27.07289
## 59 59 Cool 24.62522
## 60 60 Cool 27.65533EggHatchANOVA()## Df Sum Sq Mean Sq F value Pr(>F)
## Temperature 2 1006.6 503.3 340.8 <2e-16 ***
## Residuals 57 84.2 1.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## $Fval
## F value1
## 340.7723
##
## $probF
## Pr(>F)1
## 1.966516e-32EggHatchPlot()
Question 2:
Here I will modify my plotHatchData() function by changing the box and whisker plot to a violin plot as well as plotting an additional output graph: the density plot.
###########################
# FUNCTION: EggHatchPlot2()
# This function plots a box and whisker plot, jitter plot, and density plot using the createHatchData() function as its input
EggHatchPlot2 <- function(x=createHatchData()){
boxplot <- ggplot(data=x,aes(x=Temperature,y=Hatch_time,fill=Temperature)) + geom_violin() + scale_fill_manual(values= c("blue","red","green"))
density <- ggplot(data=x,aes(Hatch_time,fill=Temperature)) + geom_density() + scale_fill_manual(values= c(Cool="blue", Hot="red", Moderate = "green"))
print(boxplot)
print(density)
}Running my functions using my newly modified EggHatchPlot2() function
createHatchData()## ID Temperature Hatch_time
## 1 1 Hot 13.55893
## 2 2 Hot 15.33028
## 3 3 Hot 14.63658
## 4 4 Hot 17.64185
## 5 5 Hot 16.10464
## 6 6 Hot 15.98806
## 7 7 Hot 14.72260
## 8 8 Hot 18.77055
## 9 9 Hot 13.55016
## 10 10 Hot 16.11683
## 11 11 Hot 17.76755
## 12 12 Hot 16.02248
## 13 13 Hot 16.13263
## 14 14 Hot 13.60503
## 15 15 Hot 15.70382
## 16 16 Hot 15.15475
## 17 17 Hot 13.83090
## 18 18 Hot 15.90686
## 19 19 Hot 16.26580
## 20 20 Hot 17.28209
## 21 21 Moderate 19.03143
## 22 22 Moderate 21.58344
## 23 23 Moderate 22.29472
## 24 24 Moderate 21.60672
## 25 25 Moderate 21.52211
## 26 26 Moderate 18.00211
## 27 27 Moderate 19.21371
## 28 28 Moderate 22.93399
## 29 29 Moderate 20.57832
## 30 30 Moderate 21.69841
## 31 31 Moderate 20.93746
## 32 32 Moderate 21.97534
## 33 33 Moderate 20.46767
## 34 34 Moderate 21.52228
## 35 35 Moderate 20.00567
## 36 36 Moderate 21.31748
## 37 37 Moderate 21.45597
## 38 38 Moderate 21.35689
## 39 39 Moderate 22.24218
## 40 40 Moderate 19.89730
## 41 41 Cool 23.86528
## 42 42 Cool 26.63696
## 43 43 Cool 28.17364
## 44 44 Cool 27.00934
## 45 45 Cool 26.32139
## 46 46 Cool 24.10413
## 47 47 Cool 25.62695
## 48 48 Cool 25.92994
## 49 49 Cool 24.81665
## 50 50 Cool 24.18172
## 51 51 Cool 25.39055
## 52 52 Cool 27.74101
## 53 53 Cool 25.50056
## 54 54 Cool 27.00860
## 55 55 Cool 25.07114
## 56 56 Cool 24.68472
## 57 57 Cool 25.96347
## 58 58 Cool 26.71588
## 59 59 Cool 25.67826
## 60 60 Cool 25.57882EggHatchANOVA()## Df Sum Sq Mean Sq F value Pr(>F)
## Temperature 2 1132.4 566.2 328.3 <2e-16 ***
## Residuals 57 98.3 1.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## $Fval
## F value1
## 328.2646
##
## $probF
## Pr(>F)1
## 5.25049e-32EggHatchPlot2()
