can I count number of rows within certain values?
My data.table looks like this
| value | min_val | max_val |
1: | 94.001 | 94.00 | 94.02 |
2: | 94.002 | 94.00 | 94.03 |
3: | 94.003 | 94.01 | 94.04 |
4: | 95 | 94.98 | 95.02 |
...
I want to calculate the count of rows where value > min_val & value < max_val for each line for the values from the whole dt.
| value | min_val | max_val | count |
1: | 94.001 | 94.00 | 94.02 | 1 | #(num of value(s) > 94.00 & < 94.02)
2: | 94.002 | 94.00 | 94.03 | 2 |
3: | 94.003 | 94.01 | 94.04 | 2 |
4: | 95 | 94.98 | 95.02 | 1 |
I've tried dt[, count := nrow(dt[value > dt[min_val] & value < dt[max_val]])]
but I'm on the wrong path.
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