qeb99r stands for quantitative ethnobotany 1999 in R. The goal of the qeb99r is to provide a central package which implements the methods outlined in:
Höft, M., Barik, S. K., & Lykke, A. M. (1999). Quantitative Ethnobotany: Applications of Multivariate and Statistical Analyses in Ethnobotany.
You can install development version from GitHub with:
# install.packages("devtools")
devtools::install_github("mncube/qeb99r")
The dsp function can be used to compute the density of species (Dsp) on a data frame that includes the names of the species and the distance from the random sampling points to the distance to the nearest individual of the species:
library(qeb99r)
#Create a data frame of species and distances
df_sp <- data.frame(spec = sample(c("sp1", "sp2", "sp3"), 100, replace = TRUE),
dis = rnorm(100, 100, 25))
#Compute the Dsp for each species
df_sp_dens <- dsp(data = df_sp, species = spec, distance = dis)
#Display results
head(df_sp_dens)
#> # A tibble: 6 x 3
#> spec dis Dsp
#> <chr> <dbl> <dbl>
#> 1 sp1 90.3 67.6
#> 2 sp3 100. 69.7
#> 3 sp2 88.5 70.0
#> 4 sp3 82.2 69.7
#> 5 sp1 95.6 67.6
#> 6 sp1 73.7 67.6
The dsp function can also be used to compute the dsp on a numeric vector of distances for one species
vec_sp <- rnorm(33, 100, 25)
dsp(distance = vec_sp)
#> [1] 70.37096
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