Hi all, apologies if this seems like a simple question. I am extremely new to R.

I am trying to compute summary statistics by group, so that I can do a Kruskal Wallis test. The data is essentially academic years as the groups and course fee amounts. I want to get a descriptive summary for the course fee amounts within each academic year.

I use the following code:

```
>group_by(dataframe, dataframe$ï..Course.start.academic.year) %>%
summarise(count = n(),
mean = mean(dataframe$Fee.amount, na.rm = TRUE),
sd = sd(dataframe$Fee.amount, na.rm = TRUE),
median = median(dataframe$Fee.amount, na.rm = TRUE),
IQR = IQR(dataframe$Fee.amount, na.rm = TRUE))
```

and get the following output:

```
# A tibble: 6 x 6
`dataframe$ï..Course.start.academic.year` count mean sd median IQR
<fct> <int> <dbl> <dbl> <dbl> <dbl>
1 2016-17 1930 13909. 8799. 11460 11547
2 2017-18 3486 13909. 8799. 11460 11547
3 2018-19 3123 13909. 8799. 11460 11547
4 2019-20 2767 13909. 8799. 11460 11547
5 2020-21 1989 13909. 8799. 11460 11547
6 2021-22 1014 13909. 8799. 11460 11547
```

Obviously it is getting the grouping and the count correct, but it is not giving me the individual descriptive statistics, just the ones for the dataset as a whole!

I already have tidyverse, ggpubr, dplyr and rstatix packages installed.

What am I doing wrong?

Many thanks