The database of input has to be structured like this:
- Rows: species
- Columns: surveys
- Values are Frequency of occurrence (FO)
- Occasional species are coded as 999
- Leave other cells empty (i.e NA)
- database class MUST BE a dataframe
| Species | Survey_1 | Survey_2 | Survey_3 |
|---|---|---|---|
| species_1 | 12 | 1 | |
| species_2 | 3 | ||
| species_3 | 4 | ||
| species_4 | 9 | 18 | 999 |
| … |
Here is an real example image from an excel file:
“”
- Columns in GREEN are the Landolt indicator values of each plant species
- Column in BLUE contains the Index of Specific Quality (ISQ) for each species.
- Column named Rxx are the vegetation survey codes
In this database, the total number of measurements along the transect line is 25.
We can import the dataframe in R environment:
data <- read_excel("~/yourdata.xlsx")
View(data)Important note: make sure that the database class is data.frame. If not convert it as shown:
data<-as.data.frame(data)