Valtyr - 8 months ago 38

R Question

I have a plot with many diferent lines and I'd like to add error bars to each point on every line.

`df <- matrix(runif(25),5,5)`

plot(1:5,seq(0,1,1/4),type = 'n')

mapply(lines,as.data.frame(df),col=cols,pch=1:5,type="o")

I have tried to use the

`arrows`

`stdev <- matrix(runif(25,0,0.1),5,5)`

A <- as.data.frame(df) + as.data.frame(stdev)

B <- as.data.frame(df) - as.data.frame(stdev)

mapply(arrows(1:5,A,1:5,B,col=cols,angle=90,length=0.03, code=3))

Any suggestions?

Answer

`arrows`

is a vectorized function. So there is a possibility to avoid `mapply`

call. Consider (I have also replaced your first `mapply`

call by `matplot`

):

```
## generate example data
set.seed(0)
mat <- matrix(runif(25), 5, 5) ## data to plot
stdev <- matrix(runif(25,0,0.1), 5, 5) ## arbitrary standard error
low <- mat - stdev ## lower bound
up <- mat + stdev ## upper bound
x <- seq(0,1,1/4) ## x-locations to plot against
## your colour setting; should have `ncol(mat)` colours
## as an example I just use `cols = 1:ncol(mat)`
cols <- 1:ncol(mat)
## plot each column of `mat` one by one (set y-axis limit appropriately)
matplot(x, mat, col = cols, pch = 1:5, type = "o", ylim = c(min(low), max(up)))
xx <- rep.int(x, ncol(mat)) ## recycle `x` for each column of `mat`
repcols <- rep(cols, each = nrow(mat)) ## recycle `col` for each row of `mat`
## adding error bars using vectorization power of `arrow`
arrows(xx, low, xx, up, col = repcols, angle = 90, length = 0.03, code = 3)
```

Source (Stackoverflow)