I've got a list called `res`

that looks like this:

```
[[1]]
[,1] [,2]
[1,] 275.0637 273.9386
[2,] 5.707791 5.755798
[[2]]
[,1] [,2]
[1,] 126.8435 59.08806
[2,] 4.867521 3.258545
[[3]]
[,1] [,2]
[1,] 23.50188 60.96321
[2,] 2.036354 3.737291
```

The list contains results from a simulation run a total of 6 times. I set a parameter of interest at three different values, '0' (ie., [[1]]), '25' (i.e.,[[2]]), and '50' (i.e.,[[3]]). Since the model includes a great deal of randomness I ran the model twice for each value (i.e., [,1], [,2]). I asked the model to record two results, 'time feeding' (i.e., [1,] and 'distance traveled' (i.e., [2,]) for each iteration. Ultimately I will iterate the model 30 times for each variable setting. I'd like to use `ggplot`

to create a boxplot showing 'time feeding' and 'distance traveled' for each of the three simulation settings (i.e., 0,25,50). I believe `ggplot`

can't plot a list so I tried to convert `res`

to a dataframe using `res2 <- data.frame(res)`

which looked like:

```
X1 X2 X1.1 X2.1 X1.2 X2.2
1 275.0637 273.9386 126.8435 59.08806 23.50188 60.96321
2 5.707791 5.755798 4.867521 3.258545 2.036354 3.737291
```

This doesn't quite look right to me because now the results from all three simulations are on the same row. Any help on bringing this data into `ggplot`

to create a boxplot with would be really helpful. Thanks in advance!

--Neil

Assuming ll is your list , you can use `do.call`

and `rbind`

like this :

```
do.call(rbind,lapply(seq_along(ll),
function(x)data.frame(ll[[x]],iter=x)))
X..1. X..2. iter
[1,] 275.063700 273.938600 1
[2,] 5.707791 5.755798 1
[1,]1 126.843500 59.088060 2
[2,]1 4.867521 3.258545 2
[1,]2 23.501880 60.963210 3
[2,]2 2.036354 3.737291 3
```

**EDIT** after op clarication:

```
interest <- c(0,25,50)
do.call(rbind,lapply(seq_along(ll),
function(x)data.frame(x= unlist(ll[[x]]),interst=interest[x])))
interst=interest[x] .... [TRUNCATED]
x interst
X..1.1 275.063700 0
X..1.2 5.707791 0
X..2.1 273.938600 0
X..2.2 5.755798 0
X..1.11 126.843500 25
X..1.21 4.867521 25
X..2.11 59.088060 25
X..2.21 3.258545 25
X..1.12 23.501880 50
X..1.22 2.036354 50
X..2.12 60.963210 50
X..2.22 3.737291 50
```

**EDIT** since OP don't provide data here ll :

```
res <- list(read.table(text='
[,1] [,2]
[1,] 275.0637 273.9386
[2,] 5.707791 5.755798'),
read.table(text='
[,1] [,2]
[1,] 126.8435 59.08806
[2,] 4.867521 3.258545'),
read.table(text='
[,1] [,2]
[1,] 23.50188 60.96321
[2,] 2.036354 3.737291'))
```