Create a binned summary table for efficiency scores from a DEA model.
Value
A data.frame() with summary statistics
Details
The function will return a summary table for efficiency scores from a DEA model.
Efficiency scores will be placed in 11 bins, where DMUs with an efficiency score
equal to 1 are placed in a separate bin. For output oriented models with range
[1, Inf], bins are created with 1/bin. Bin widths will be equal to models
with range [0, 1].
Examples
# Load example data
fare89 <- deaR::Electric_plants
# Estimate efficiency
mod <- compute_dea(
data = fare89,
input = c("Labor", "Fuel", "Capital"),
output = "Output",
rts = "vrs"
)
# Get a summary table of efficiency scores
summary_tbl_dea(mod)
#> Range Frequency
#> 1 0 <= E < 0.1 0
#> 2 0.1 <= E < 0.2 0
#> 3 0.2 <= E < 0.3 0
#> 4 0.3 <= E < 0.4 0
#> 5 0.4 <= E < 0.5 0
#> 6 0.5 <= E < 0.6 0
#> 7 0.6 <= E < 0.7 0
#> 8 0.7 <= E < 0.8 0
#> 9 0.8 <= E < 0.9 6
#> 10 0.9 <= E < 1 5
#> 11 E == 1 8
# You can also create the table from a numeric vector of efficiency scores
res <- as.data.frame(mod)
summary_tbl_dea(res$efficiency)
#> Range Frequency
#> 1 0 <= E < 0.1 0
#> 2 0.1 <= E < 0.2 0
#> 3 0.2 <= E < 0.3 0
#> 4 0.3 <= E < 0.4 0
#> 5 0.4 <= E < 0.5 0
#> 6 0.5 <= E < 0.6 0
#> 7 0.6 <= E < 0.7 0
#> 8 0.7 <= E < 0.8 0
#> 9 0.8 <= E < 0.9 6
#> 10 0.9 <= E < 1 5
#> 11 E == 1 8