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6 changes: 4 additions & 2 deletions _tutorials/funandloops.md
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Expand Up @@ -308,7 +308,7 @@ diam.summ <- function(dbh, mean = TRUE, median = TRUE, ba = TRUE){
return(as.data.frame(na.omit(t(data.frame(mean_dbh, median_dbh, mean_ba)))))
}

diam.summ(dbh = bicuar_trees$diam, mean = TRUE, median = FALSE)
diam.summ(dbh = trees_bicuar$diam, mean = TRUE, median = FALSE)
```

Also note that in this function definition the extra arguments have default values, e.g. `mean = TRUE`. This means that even if the user doesn't specify what the value of `mean` should be, e.g. `diam.summ(dbh = trees_bicuar$diam, median = TRUE, mean_ba = FALSE)`, R will default to the value of `mean = TRUE`, thus calculating the mean trunk diameter.
Expand All @@ -319,9 +319,11 @@ Also note that in this function definition the extra arguments have default valu

This final section for the workshop provides another real world example using simple `for()` loops and functions to create multiple graphs of population trends from the [Living Planet Index](http://www.livingplanetindex.org/) for a number of vertebrate species from 1970 to 2014. Work through the example to make sure that all the code makes sense, remembering the lessons from earlier in the workshop.

First, import the data:
First, load required packages and import the data:

```r
library(dplyr)
library (ggplot2)
LPI <- read.csv("LPI_data_loops.csv")
```

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