r/chickweight.Rmd at master · north-tower/r · GitHub

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---
title: "ChickWeight"
output:
  html_document:
    df_print: paged
---

Loading the required libraries
```{r}
library(tidyverse)
library(data.table)
```

Function 1
```{r}
func1 <- function(dataframe){

 attach(dataframe)
 head(dataframe)

 baseline<-mean(dataframe$weight)

 dataframe$percent.increase.from.baseline <- (dataframe$weight/baseline)*100

 dataframe$increase.from.baseline <- dataframe$weight - baseline

 dataframe

}
attach(ChickWeight)
func1(ChickWeight)
```

Function 2
```{r}
#Making increase and percent increase
baseline<-mean(ChickWeight$weight)

ChickWeight$percentage.increase.from.baseline <- (ChickWeight$weight/baseline)*100
ChickWeight$increase.from.baseline <- ChickWeight$weight - baseline

#Arguments
#type_of_weight=weight,percentage.increase.from.baseline
#diet=0(for all diets),1(for diet 1),2(for diet 2),3(for diet 3), 4(for diet 4)
#colour1,colour2,colour3,colour4 = For the colour scheme
#lowerTime,upperTime = For setting the time ranges

func2  <- function(type_of_weight,diet=0,colour1,colour2,colour3,colour4,lowerTime=0,upperTime=21){
  if (lowerTime > 0){
      if (diet > 0){
      ss <- subset(ChickWeight, Diet == diet )
      ss <- subset(ChickWeight, Time >= lowerTime & Time <= upperTime)
      ggplot(data = ss, aes(x = Time, y = weight)) +
      stat_summary() +
      geom_smooth(method="lm",se=FALSE,colour=colour1,formula=y ~ x)
      }else{
       ChickWeight = subset(ChickWeight,  Time >= lowerTime & Time <= upperTime)
       ggplot(data=ChickWeight,aes(x=Time,y=type_of_weight,color=Diet))+
       stat_summary()+
       geom_smooth(method="lm",se=FALSE,formula=y~x)+scale_color_manual(values=c(colour1,colour2,colour3,        colour4))
      }
  }else{
    if (diet > 0){
      ss <- subset(ChickWeight, Diet == diet )
      ss <- subset(ChickWeight, Time >= lowerTime & Time <= upperTime)
      ggplot(data = ss, aes(x = Time, y = weight)) +
      stat_summary() +
      geom_smooth(method="lm",se=FALSE,colour=colour1,formula=y~x)
      }else{
       ChickWeight = subset(ChickWeight,  Time >= lowerTime & Time <= upperTime)
       ggplot(data=ChickWeight,aes(x=Time,y=type_of_weight,color=Diet))+
       stat_summary()+
       geom_smooth(method="lm",se=FALSE,formula=y~x)+scale_color_manual(values=c(colour1,colour2,colour3,        colour4))
      }

  }
}

```


```{r}

func2(ChickWeight$weight,1,"green","#999999", "#E69F00","#56B4E9",10,15)

```
```{r}
func2(ChickWeight$weight,0,"green","#999999", "#E69F00","#56B4E9",0,21)
```


Function 3
```{r}

func3=function(diet){
  rela<-subset(ChickWeight,Diet==diet)
  r<-mean(rela$weight)
  ChickWeight$increase.from.reference<-(ChickWeight$weight/r)*100

  ggplot(data=ChickWeight,aes(x=Time,y=increase.from.reference,color=Diet))+
    stat_summary(data=subset(ChickWeight,Diet != diet ),aes(Diet,col=as.character(diet)),fun = mean, geom="line")+geom_point(data=subset(ChickWeight,Diet != diet ),stat="summary",fun.y="mean")+
    geom_smooth(data=subset(ChickWeight,Diet != diet),
                aes(Time,weight,color=factor(Diet)),method="lm",se=FALSE)+
    scale_color_manual(values=c("green","#999999", "#E69F00","#56B4E9"))+     scale_y_continuous(labels = scales::percent_format(scale = 1))

}

func3(1)
```
```{r}
func3(2)
```