I have a data where the first column is a bunch of ID numbers (some repeat), and the second column is just a bunch of numbers. I need a way to keep each ID number only once based on the smallest number in the second column.

```
Row# ID Number
1 10 180
2 12 167
3 12 182
4 12 135
5 15 152
6 15 133
```

Ex: I only want to keep Row# 1, 4, and 6 here and delete the rest

Answer:

Try

```
aggregate(Number~ID, df1, FUN=min)
```

Or

```
library(data.table)
setDT(df1)[, list(Number=min(Number)), by = ID]
```

Or from @David Arenburgs' comments

```
unique(setorder(setDT(df1), Number), by = "ID")
```

Or

```
library(dplyr)
df1 %>%
group_by(ID) %>%
summarise(Number= min(Number))
```

Or

```
library(sqldf)
sqldf('select ID, min(Number) as Number from df1 group by ID')
```

If there are multiple columns and you want to get the row based on the minimum value of 'Number' for each 'ID', you can use `which.min`

```
setDT(df1)[df1[, .I[which.min(Number)], by = ID]$V1]
```

Or

```
df1 %>%
group_by(ID) %>%
slice(which.min(Number))
```

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