analysis | R Documentation |
This function analyzes the response variable of the data frame.
analysis(
Main_Data_Frame = NULL,
Response_Vector = NULL,
circle = 6,
blocks = FALSE,
row_element = NULL,
plant_element = NULL,
CRS = NULL
)
Main_Data_Frame |
A data frame generated by one of the functions HSD(), HSD0(), HSD01() and HSD03(). |
Response_Vector |
A vector containing the response variable data. |
circle |
The number of plants per moving ring. |
blocks |
The moving circular block. |
row_element |
The position of the plant (number of row) in the center of a moving ring/circular block. |
plant_element |
The position of the plant (number of plant) in the center of a moving ring/circular block. |
CRS |
The number of selected plants used for the CRS index. |
A list.
Fasoula V. (2013). Prognostic Breeding: A New Paradigm for Crop Improvement. Plant Breeding Reviews 37: 297-347. 10.1002/9781118497869.ch6. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/9781118497869.ch6")}
Fasoula V.A., and Tokatlidis I.S. (2012). Development of crop cultivars by honeycomb breeding. Agronomy for Sustainable Development 32:161–180. 10.1007/s13593-011-0034-0 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s13593-011-0034-0")}
Fasoulas A.C., and Fasoula V.A. (1995). Honeycomb selection designs. In J. Janick (ed.). Plant Breeding Reviews 13: 87-139. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/9780470650059.ch3")}
Tokatlidis I. (2016). Sampling the spatial heterogeneity of the honeycomb model in maize and wheat breeding trials: Analysis of secondary data compared to popular classical designs. Experimental Agriculture, 52(3), 371-390. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1017/S0014479715000150")}
Tokatlidis I., and Vlachostergios D. (2016). Sustainable Stewardship of the Landrace Diversity. Diversity 8(4):29. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3390/d8040029")}
main_data<-HSD(7,2,10,10,1)
main_data$Data<-wheat_data$total_yield
analysis(main_data,"Data",6)
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