All tests passing

NERC-CEH · Oct 21, 2024 · 1bfbe56 · 1bfbe56
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diff --git a/src/Utilities.jl b/src/Utilities.jl
@@ -8,7 +8,7 @@ using DataFrames
                         meancoloccs::Int64,
                         rowprefix::String = "Releve", colprefix::String = "Species",
                         rowdim::String = "Releve", coldim::String = "Species",
-                        sparse::Bool = false)
+                        sparse_array::Bool = false)
 
 Create a `rown` by `coln` NamedArray object containing random values.
 
@@ -21,7 +21,7 @@ Create a `rown` by `coln` NamedArray object containing random values.
 - `colprefix::String`: The prefix to the column number. "Species" by default.
 - `rowdim::String`: The row dimension name. "Releve" by default.
 - `coldim::String`: The column dimension name. "Species" by default.
-- `sparse::Bool`: If true a names sparse matrix is returned. If false a named dense matrix is returned. false by default.
+- `sparse_array::Bool`: If true a names sparse matrix is returned. If false a named dense matrix is returned. false by default.
 ...
 
 # Examples

diff --git a/test/test_SimilarityIndices.jl b/test/test_SimilarityIndices.jl
@@ -4,11 +4,11 @@ using NamedArrays
 using SparseArrays
 
 @testset "SimilarityIndices.jl" begin
-    x = VegSci.generate_test_array(rown = 10, coln = 10, meancoloccs = 6, rowprefix = "SiteA-", colprefix = "Species", sparse = false)
-    y = VegSci.generate_test_array(rown = 5, coln = 10, meancoloccs = 6, rowprefix = "SiteB-", colprefix = "Species", sparse = false)
+    x = VegSci.generate_test_array(rown = 10, coln = 10, meancoloccs = 6, rowprefix = "SiteA-", colprefix = "Species", sparse_array = false)
+    y = VegSci.generate_test_array(rown = 5, coln = 10, meancoloccs = 6, rowprefix = "SiteB-", colprefix = "Species", sparse_array = false)
     xy = VegSci.merge_namedarrays([x, y])
-    x_sparse = VegSci.generate_test_array(rown = 10, coln = 10, meancoloccs = 6, rowprefix = "SiteA-", colprefix = "Species", sparse = true)
-    y_sparse = VegSci.generate_test_array(rown = 5, coln = 10, meancoloccs = 6, rowprefix = "SiteB-", colprefix = "Species", sparse = true)
+    x_sparse = VegSci.generate_test_array(rown = 10, coln = 10, meancoloccs = 6, rowprefix = "SiteA-", colprefix = "Species", sparse_array = true)
+    y_sparse = VegSci.generate_test_array(rown = 5, coln = 10, meancoloccs = 6, rowprefix = "SiteB-", colprefix = "Species", sparse_array = true)
     xy_sparse = VegSci.merge_namedarrays([x, y])
     @testset "steinhaus_coefficient" begin
         steinhaus_results = VegSci.steinhaus_coefficient(x, y)