I wrote the following procedure in R:

- Start with a data frame called "girafe" data
- Sample 30% of this data and label it "sample"
- Create a histogram for this data, and color the areas of this histogram that were "sampled" as one color, and the other rows another color
- Repeat this process 100 times and make an animation of this process

```
library(ggplot2)
library(dplyr)
library(gganimate)
giraffe_data <- data.frame( a = abs(rnorm(1000,17,10)), b = abs(rnorm(1000,17,10)))
results <- list()
for( i in 1:100)
{
giraffe_data_i <- giraffe_data
a_i <- c("sample", "not_sampled")
aa_i <- as.factor(sample(a_i, 1000, replace=TRUE, prob=c(0.3, 0.7)))
giraffe_data_i $col = cut(giraffe_data_i$a, c(-Inf, 17, Inf))
giraffe_data_i$sample <- aa_i
giraffe_data_i$iteration <- i + 1
results[[i]] <- giraffe_data_i
}
results
results_df <- do.call(rbind.data.frame, results)
animate(
ggplot(results_df, aes(x=a, fill = col)) +
geom_histogram(binwidth=1) +
scale_fill_manual(breaks = levels(results_df$col), values = c('blue', 'red')) +
transition_states(iteration, state_length = 0.2) +
labs(title = "Group: {closest_state}"),
fps = 25)
```

But for some reason, this graph does not change colors in the animation.

Can someone please show me how to fix this?

**Note** : I was able to get the colors to change with the following code:

```
animate(
ggplot(results_df, aes(x=a, color = sample)) +
geom_histogram(fill="white", position="dodge")+
transition_states(iteration, state_length = 0.2) +
labs(title = "Group: {closest_state}"),
fps = 5)
```

But this shows the two colors as two separate "groups". I want there to be only one "group", but there to be different colors within this one "group". Can someone please show me how to fix this?

Thanks