# HG changeset patch
# User dereeper
# Date 1545898979 18000
# Node ID df6d281484e0f2975e60d89ea3f5d830c3c3ae0d
# Parent 8f2ef516aec7370b8c384de683f04ea76a49c5e8
Uploaded
diff -r 8f2ef516aec7 -r df6d281484e0 blupcal.alternate.xml
--- a/blupcal.alternate.xml Thu Dec 27 03:19:57 2018 -0500
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,185 +0,0 @@
-
- calculator (multiple traits)
-
- r-lme4
- r-getopt
-
-
-./blupcal.sh $__tool_directory__ $galaxy_tabular_file $galaxy_replication_vector_column_index $galaxy_genotype_vector_column_index $galaxy_first_y_vector_column_index $galaxy_last_y_vector_column_index $galaxy_design_conditional.galaxy_design
- $galaxy_summarize_by
- $galaxy_summarize_by_vector_column_index
- $galaxy_group_variable_1
- $galaxy_group_variable_1_vector_column_index
- $galaxy_group_variable_2
- $galaxy_group_variable_2_vector_column_index
- $galaxy_output_file_path
-#if $galaxy_design_conditional.galaxy_design == "lattice":
- $galaxy_design_conditional.galaxy_block_vector_column_index
-#else:
- NULL
-#end if
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-**What it does**
-
-This function calculates BLUP, BLUE and means for Y variable based on the model specified by the user.
-
-The required variables for RCBD are Genotype and Replication and for lattice required variables are Genotype, Replication (main block) and Block within Replication (sub block or block). User can add additional two X variables (eg. Location, Season etc) in the model and are treated as factor ( even supplied as numerical variable).
-If you want to calculate BLUP / BLUE by a grouping variable (eg. Management), then this will calculate BLUP / BLUE for each level of the variable.
-
-**Model**
-
-for RCBD design
-
-without additional factors (variable 1 and variable 2)
-
-*Y = Genotype + Replication + error* RCBD
-
-*Y = Genotype + Replication + Block within Replication + error* Lattice
-
-
-With variable 1
-
-*Y = Variable 1 + Genotype + Variable 1 : Genotype + Replication + error* RCBD
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-*Y = Variable 1 + Genotype + Replication + Variable 1 : Genotype + Block within Replication + error* Lattice
-
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-With variable 1 and variable 2
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-*Y = Variable 2 + Variable 1 + Genotype + Variable 1 : Genotype + Variable 1: Variable 2 + Variable 1:Variable 2: Genotype + Replication + error* RCBD
-*Y = Variable 2 + Variable 1 + Genotype + Variable 1 : Genotype + Variable 1: Variable 2 + Variable 1:Variable 2: Genotype + Replication + Block within Replication + error* RCBD
-
-**Model details**
-
-- Genotype is treated as Fixed for BLUE calculation and random for BLUP calculation.
-- Replication, Block within Replication are treated as random both BLUP and BLUE calculations.
-- Variable 1, Genotype : Variable 1 are treated as random both BLUP and BLUE calculations.
-- Variable 2, Genotype : Variable 2, Variable 1 : Variable 2, Genotype : Variable 1 : Variable 2 are treated as random effects for both BLUP and BLUE calculations.
-
-
-**Citation**
-Douglas Bates, Martin Maechler, Ben Bolker, Steve Walker (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1-48.
-
-**Author(s)**
-
-
diff -r 8f2ef516aec7 -r df6d281484e0 blupcal.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/blupcal.xml Thu Dec 27 03:22:59 2018 -0500
@@ -0,0 +1,185 @@
+
+ calculator (multiple traits)
+
+ r-lme4
+ r-getopt
+
+
+./blupcal.sh $__tool_directory__ $galaxy_tabular_file $galaxy_replication_vector_column_index $galaxy_genotype_vector_column_index $galaxy_first_y_vector_column_index $galaxy_last_y_vector_column_index $galaxy_design_conditional.galaxy_design
+ $galaxy_summarize_by
+ $galaxy_summarize_by_vector_column_index
+ $galaxy_group_variable_1
+ $galaxy_group_variable_1_vector_column_index
+ $galaxy_group_variable_2
+ $galaxy_group_variable_2_vector_column_index
+ $galaxy_output_file_path
+#if $galaxy_design_conditional.galaxy_design == "lattice":
+ $galaxy_design_conditional.galaxy_block_vector_column_index
+#else:
+ NULL
+#end if
+
+
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+
+
+**What it does**
+
+This function calculates BLUP, BLUE and means for Y variable based on the model specified by the user.
+
+The required variables for RCBD are Genotype and Replication and for lattice required variables are Genotype, Replication (main block) and Block within Replication (sub block or block). User can add additional two X variables (eg. Location, Season etc) in the model and are treated as factor ( even supplied as numerical variable).
+If you want to calculate BLUP / BLUE by a grouping variable (eg. Management), then this will calculate BLUP / BLUE for each level of the variable.
+
+**Model**
+
+for RCBD design
+
+without additional factors (variable 1 and variable 2)
+
+*Y = Genotype + Replication + error* RCBD
+
+*Y = Genotype + Replication + Block within Replication + error* Lattice
+
+
+With variable 1
+
+*Y = Variable 1 + Genotype + Variable 1 : Genotype + Replication + error* RCBD
+
+*Y = Variable 1 + Genotype + Replication + Variable 1 : Genotype + Block within Replication + error* Lattice
+
+
+With variable 1 and variable 2
+
+*Y = Variable 2 + Variable 1 + Genotype + Variable 1 : Genotype + Variable 1: Variable 2 + Variable 1:Variable 2: Genotype + Replication + error* RCBD
+*Y = Variable 2 + Variable 1 + Genotype + Variable 1 : Genotype + Variable 1: Variable 2 + Variable 1:Variable 2: Genotype + Replication + Block within Replication + error* RCBD
+
+**Model details**
+
+- Genotype is treated as Fixed for BLUE calculation and random for BLUP calculation.
+- Replication, Block within Replication are treated as random both BLUP and BLUE calculations.
+- Variable 1, Genotype : Variable 1 are treated as random both BLUP and BLUE calculations.
+- Variable 2, Genotype : Variable 2, Variable 1 : Variable 2, Genotype : Variable 1 : Variable 2 are treated as random effects for both BLUP and BLUE calculations.
+
+
+**Citation**
+Douglas Bates, Martin Maechler, Ben Bolker, Steve Walker (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1-48.
+
+**Author(s)**
+
+