Dataset description

I got the dataset from… The data originaly came from… There were X rows and Y columns in the dataset. The names of the columns were

names(ChickWeight)
## [1] "weight" "Time"   "Chick"  "Diet"

Here is what each means:

  1. weight: …
  2. Time: …
  3. Chick: …
  4. Diet: …

Questions

  1. How do chicken weights change over time?
  2. Was there an effect of diet on chicken weights?
  3. …
  4. …
  5. …

Analyses

library(yarrr)

Question 1. How do chicken weights change over time?

First, I calculated the average weight of chickens at each time point.

# TASK 9
aggregate(weight ~ Time, data = ChickWeight, FUN = mean)
##    Time    weight
## 1     0  41.06000
## 2     2  49.22000
## 3     4  59.95918
## 4     6  74.30612
## 5     8  91.24490
## 6    10 107.83673
## 7    12 129.24490
## 8    14 143.81250
## 9    16 168.08511
## 10   18 190.19149
## 11   20 209.71739
## 12   21 218.68889

I found that the mean weight at time 0 was 41.06. The mean weight at time 21 was 218.69.

Next, I created a pirate plot of the distibution of weights at each time

### TASK 8

pirateplot(dv.name = "weight", 
           iv.name = "Time", 
           data = ChickWeight, 
           main = "Chicken Weights over Time")

The plot clearly shows that the chickens got heavier over time. The standard deviation of weights appeared to increase as well.

To see if the relationship was significant, I conducted a correlation test between time and weight:

### Task 4
cor.test(ChickWeight$Time, ChickWeight$weight)
## 
##  Pearson's product-moment correlation
## 
## data:  ChickWeight$Time and ChickWeight$weight
## t = 36.725, df = 576, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.8109073 0.8599481
## sample estimates:
##       cor 
## 0.8371017

There was a significant positive correlation between time and weight, r = 0.84, t(576) = 36.73, p < .01.

Question 2. Was there an effect of diet on chicken weights?

Question 3…

Question 4…

Question 5…

Conclusion

blah blah blah blah