I have the following dataset that contains the heights and weights of people from Canada - using the value of height (cm), I split weight (kg) into bins based on ntiles, and calculated the average value of var2 within each ntile bin:

```
library(dplyr)
library(gtools)
set.seed(123)
canada = data.frame(height = rnorm(10000,150,10), weight = rnorm(10000,90, 10))
Part_1 = canada %>%
mutate(quants = quantcut(weight, 100),
rank = as.numeric(quants)) %>%
group_by(quants) %>%
mutate(min = min(weight), max = max(weight), count = n(), avg_height = mean(height))
Part_1 = Part_1 %>% distinct(rank, .keep_all = TRUE)
> Part_1
# A tibble: 100 x 8
# Groups: quants [100]
height weight quants rank min max count avg_height
<dbl> <dbl> <fct> <dbl> <dbl> <dbl> <int> <dbl>
1 144. 114. (110.2,113.9] 99 110. 114. 100 150.
2 148. 88.3 (88.12,88.38] 44 88.1 88.4 100 149.
3 166. 99.3 (99.1,99.52] 83 99.1 99.5 100 152.
4 151. 84.3 (84.14,84.44] 29 84.1 84.4 100 150.
```

For example, I see that there are 100 people between the weight range of 100.2 - 113.9 kg and the average height of these people is 150 cm

Now, suppose I have a similar dataset for people from the USA:

```
set.seed(124)
usa = data.frame(height = rnorm(10000,150,10), weight = rnorm(10000,90, 10))
```

**My Question: Based on the weight ranges I calculated using the Canada dataset - I want to find out how many people from the USA fall within these Canadian ranges and what is the average weight of the Americans within these Canadian ranges**

For example:

- In the Canada dataset, I saw that there are 100 people between the weight range of 100.2 - 113.9 kg and the average height of these people is 150 cm
- How many Americans are between the weight range of 100.2 - 113.9 kg and what is the average height of these Americans?

I know that I can do this manually for each rank:

```
americans_in_canadian_rank99 = usa %>%
filter(weight > 110.2 & weight < 113.9) %>%
group_by() %>%
summarize(count = n(), avg_height = mean(height))
americans_in_canadian_rank44 = usa %>%
filter(weight > 88.1 & weight < 88.4) %>%
group_by() %>%
summarize(count = n(), avg_height = mean(height))
```

In the end, I would be looking for something a desired output like this:

```
canadian_rank min_weight max_weight canadian_count canadian_avg_height american_count american_avg_height
1 99 110.2 113.9 100 150 116 150
2 44 88.1 88.4 100 149 154 150
```

**Can someone please help me figure out a better way to do this?**

Thanks!