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I’m building a new program, but when I run it, an error pops up. The error displayed is as follows:

`error in plot.window(need finite 'ylim' values)`

I have tried several workarounds, but they still do not get the desired results. If you have come across this situation and have a solution for the “error in plot.window(…) : need finite ‘ylim’ values” problem, pls let me know. Here is what I do:

```
# read in sample data and split it up by group (defined by ID)
xy <- data.frame(NAME=c("NAME2","NAME2","NAME2","NAME2","NAME2","NAME3","NAME3","NAME3","NAME3","NAME5","NAME5","NAME5","NAME5"), ID=c(48,48,48,48,48,32,32,32,32,67,67,67,67),YEAR=c(1981,1983,1984,1988,1989,1984,1984,1988,1988,1899,1933,1948,1958),VALUE=c(0,205,-570,0,-310,-3680,-3680,NA,-3680,0,NA,13,-98))
ind <- split(x = xy,f = xy[,'ID'])
# Plot Scenario 1: if only years between 1946 and 2014 are present for each group do this:
plot1 <- function(x) {
fname <- paste0(x[1, 'ID'], '.png')
png(fname, width=1679, height=1165, res=150)
par(mar=c(6,8,6,5))
plot(x = c(1946, 2014),
y = range(x$VALUE),
type='n',
main=x[1, 'NAME'],
xlab="Time [Years]",
ylab="Value")
axis(2, at = seq(-100000, 100000, 500), cex.axis=1, labels=FALSE, tcl=-0.3)
points(ind[[i]][,c('YEAR','VALUE')], type="l", lwd=2)
points(ind[[i]][,c('YEAR','VALUE')], type="p", lwd=1, cex=1, pch=21, bg='white')
abline(h=0)
dev.off()
}
# Plot Scenario 2 if years under 1946 are present do this:
plot2 <- function(x) {
fname <- paste0(x[1, 'ID'], '.png')
png(fname, width=1679, height=1165, res=150)
par(mar=c(6,8,6,5))
plot(x[,c('YEAR','VALUE')],
type='n',
main=x[1, 'NAME'],
xlab="Time [Years]",
ylab="Value [mm]")
axis(2, at = seq(-100000, 100000, 500), cex.axis=1, labels=FALSE, tcl=-0.3)
points(ind[[i]][,c('YEAR','VALUE')], type="l", lwd=2)
points(ind[[i]][,c('YEAR','VALUE')], type="p", lwd=1, cex=1, pch=21, bg='white')
abline(h=0)
dev.off()
}
# Execute functions
lapply(ind, function(x) ifelse(any(x$YEAR < 1946 & x$YEAR < 2014), plot2(x), plot1(x)))
```

Thanks!

The cause:This error happens due to in the process of graphing a data frame the plot() function will look for numeric values based on columns. If there is “NA” values in any column, it will return an error message.

Solution:The best way to solve this problem is deleting

`NA`

missing values in`plot1`

by replace`y = range(x$VALUE)`

with`y = range(x$VALUE, na.rm=TRUE)`

.I found you also have a problem in both functions you refer to

`ind[[i]]`

, this means that at some points this code is a part of a loop. I think all the references to`ind[[i]]`

is`x`

.