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Data X:
2.75 0.7 "'Criollo'" "'Venezuela'" 3.5 0.7 "'Criollo'" "'Venezuela'" 3.75 0.7 "'Criollo'" "'Venezuela'" 3 0.7 "'Criollo'" "'Madagascar'" 4 0.7 "'Trinitario'" "'Venezuela'" 3.75 0.7 "'Criollo'" "'Peru'" 2.75 0.6 "'Trinitario'" "'Fiji'" 3.25 0.8 "'Trinitario'" "'Fiji'" 3.5 0.88 "'Trinitario'" "'Fiji'" 3.5 0.72 "'Trinitario'" "'Fiji'" 3 0.7 "'Criollo'" "'Mexico'" 3.75 0.75 "'Trinitario'" "'Indonesia'" 2.75 0.75 "'Criollo'" "'Madagascar'" 2.75 0.75 "'Forastero'" "'Brazil'" 2.75 0.65 "'Trinitario'" "'Trinidad'" 2.75 0.75 "'Trinitario'" "'Vietnam'" 3 0.75 "'Trinitario'" "'Madagascar'" 2.5 0.75 "'Trinitario'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Vietnam'" 3.5 0.7 "'Forastero'" "'Tanzania'" 3 0.6 "'Trinitario'" "'Dominican Republic'" 3 0.7 "'Trinitario'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3.75 0.7 "'Criollo'" "'Venezuela'" 3 0.7 "'Forastero'" "'Ghana'" 3 0.85 "'Forastero'" "'Ghana'" 3.5 0.73 "'Trinitario'" "'Peru'" 3 0.64 "'Trinitario'" "'Belize'" 3.25 0.66 "'Trinitario'" "'Madagascar'" 5 0.7 "'Trinitario'" "'Venezuela'" 3 0.7 "'Trinitario'" "'Ecuador'" 3 0.7 "'Trinitario'" "'Jamaica'" 3.5 0.7 "'Trinitario'" "'Grenada'" 3.5 0.7 "'Trinitario'" "'Trinidad'" 3 0.75 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Trinidad'" 3.5 0.73 "'Trinitario'" "'Vietnam'" 3.75 0.7 "'Trinitario'" "'Belize'" 3.25 0.72 "'Trinitario'" "'Trinidad'" 3.75 0.72 "'Trinitario'" "'Jamaica'" 3.25 0.72 "'Trinitario'" "'Vietnam'" 2.75 0.72 "'Trinitario'" "'Indonesia'" 3 0.75 "'Criollo'" "'Peru'" 3.25 0.72 "'Trinitario'" "'Dominican Republic'" 3.75 0.72 "'Forastero'" "'Congo'" 2.75 0.72 "'Trinitario'" "'Colombia'" 3.75 0.68 "'Trinitario'" "'Tanzania'" 3.75 0.72 "'Trinitario'" "'Tanzania'" 3.75 0.7 "'Trinitario'" "'Honduras'" 3.75 0.77 "'Trinitario'" "'Philippines'" 2.5 0.75 "'Trinitario'" "'Mexico'" 3 0.7 "'Trinitario'" "'Madagascar'" 3.75 0.7 "'Trinitario'" "'Madagascar'" 2.75 0.83 "'Trinitario'" "'Belize'" 3 0.78 "'Trinitario'" "'Belize'" 3.5 0.83 "'Trinitario'" "'Belize'" 3.5 0.74 "'Trinitario'" "'Cuba'" 3.5 0.74 "'Criollo'" "'Venezuela'" 3.5 0.74 "'Criollo'" "'Venezuela'" 4 0.73 "'Trinitario'" "'Ecuador'" 4 0.72 "'Trinitario'" "'Indonesia'" 3.75 0.72 "'Trinitario'" "'Madagascar'" 3 0.64 "'Trinitario'" "'Madagascar'" 3 0.88 "'Criollo'" "'Venezuela'" 3.25 0.7 "'Trinitario'" "'Venezuela'" 3.25 0.86 "'Trinitario'" "'Belize'" 3.5 0.72 "'Forastero'" "'Ghana'" 3 0.7 "'Trinitario'" "'Madagascar'" 3 0.78 "'Criollo'" "'Venezuela'" 3.25 0.75 "'Trinitario'" "'Madagascar'" 3.5 0.65 "'Trinitario'" "'Madagascar'" 3 0.71 "'Trinitario'" "'Madagascar'" 3 0.7 "'Forastero'" "'Ghana'" 2.75 0.7 "'Trinitario'" "'Venezuela'" 2.75 0.7 "'Trinitario'" "'Jamaica'" 3.5 0.82 "'Forastero'" "'Congo'" 3.5 0.82 "'Trinitario'" "'Madagascar'" 3.75 0.7 "'Trinitario'" "'Madagascar'" 3.5 0.75 "'Trinitario'" "'Cuba'" 4 0.75 "'Criollo'" "'Madagascar'" 3.25 0.75 "'Trinitario'" "'Jamaica'" 2.75 0.75 "'Criollo'" "'Peru'" 3 0.75 "'Criollo'" "'Mexico'" 3 0.75 "'Criollo'" "'Mexico'" 3.75 0.75 "'Trinitario'" "'Carribean'" 4 0.75 "'Criollo'" "'Venezuela'" 4 0.75 "'Trinitario'" "'Madagascar'" 4 0.75 "'Trinitario'" "'Venezuela'" 2.75 0.7 "'Trinitario'" "'Belize'" 3.5 0.7 "'Criollo'" "'Venezuela'" 3.75 0.7 "'Trinitario'" "'Belize'" 4 0.7 "'Trinitario'" "'Venezuela'" 3 0.72 "'Trinitario'" "'Dominican Republic'" 3.5 0.75 "'Forastero'" "'Ghana'" 3.5 0.85 "'Trinitario'" "'Venezuela'" 3.25 0.8 "'Trinitario'" "'Belize'" 3 0.7 "'Trinitario'" "'Jamaica'" 3 0.72 "'Trinitario'" "'Madagascar'" 2.75 0.68 "'Trinitario'" "'Trinidad'" 3.25 0.72 "'Trinitario'" "'Trinidad'" 3.25 0.72 "'Trinitario'" "'Belize'" 2.5 0.75 "'Criollo'" "'Peru'" 3.5 0.77 "'Trinitario'" "'Venezuela'" 3.25 0.75 "'Trinitario'" "'Venezuela'" 3.5 0.75 "'Trinitario'" "'Venezuela'" 3.75 0.7 "'Trinitario'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Honduras'" 3.75 0.72 "'Criollo'" "'Dominican Republic'" 3.5 0.7 "'Criollo'" "'Congo'" 3.5 0.71 "'Trinitario'" "'Madagascar'" 3.25 0.71 "'Trinitario'" "'Grenada'" 4 0.7 "'Criollo'" "'Mexico'" 4 0.7 "'Criollo'" "'Mexico'" 3 0.7 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Vietnam'" 2.75 0.6 "'Trinitario'" "'Grenada'" 2.25 0.78 "'Forastero'" "'Sao Tome'" 2.5 0.7 "'Trinitario'" "'Trinidad'" 2.5 0.75 "'Criollo'" "'Venezuela'" 3 0.7 "'Criollo'" "'Venezuela'" 3.25 0.7 "'Trinitario'" "'Brazil'" 3.5 0.7 "'Trinitario'" "'Papua New Guinea'" 3 0.72 "'Forastero'" "'Costa Rica'" 2.75 0.8 "'Forastero'" "'Costa Rica'" 3 0.65 "'Trinitario'" "'Colombia'" 3.25 0.65 "'Trinitario'" "'Colombia'" 3.25 0.65 "'Trinitario'" "'Colombia'" 3.5 0.65 "'Trinitario'" "'Colombia'" 4 0.72 "'Trinitario'" "'Belize'" 3.5 0.72 "'Trinitario'" "'Honduras'" 2.75 0.7 "'Trinitario'" "'Dominican Republic'" 3 0.7 "'Trinitario'" "'Bolivia'" 3.5 0.73 "'Trinitario'" "'Dominican Republic'" 2.5 0.7 "'Criollo'" "'Peru'" 3.25 0.72 "'Trinitario'" "'Nicaragua'" 2.75 0.7 "'Criollo'" "'Peru'" 2.75 0.7 "'Forastero'" "'Uganda'" 3 0.75 "'Trinitario'" "'Belize'" 3.25 0.82 "'Trinitario'" "'Belize'" 2.75 0.7 "'Trinitario'" "'Vietnam'" 3.5 0.7 "'Trinitario'" "'Malaysia'" 2.5 0.65 "'Criollo'" "'Peru'" 2.75 0.65 "'Criollo'" "'Peru'" 3.75 0.7 "'Trinitario'" "'Madagascar'" 3.25 0.75 "'Trinitario'" "'Dominican Republic'" 3.5 0.68 "'Forastero'" "'Congo'" 3.75 0.8 "'Criollo'" "'Peru'" 3.75 0.8 "'Trinitario'" "'Venezuela'" 2.75 0.68 "'Criollo'" "'Peru'" 3.25 0.72 "'Criollo'" "'Madagascar'" 2.5 0.7 "'Criollo'" "'Mexico'" 3 0.77 "'Criollo'" "'Venezuela'" 3.25 0.71 "'Criollo'" "'Mexico'" 3.5 0.71 "'Trinitario'" "'Madagascar'" 3.5 0.71 "'Criollo'" "'Venezuela'" 2.5 0.71 "'Trinitario'" "'Grenada'" 2.5 0.65 "'Trinitario'" "'Mexico'" 2.5 0.75 "'Trinitario'" "'Mexico'" 2.5 0.8 "'Criollo'" "'Venezuela'" 2.75 0.7 "'Criollo'" "'Mexico'" 3 0.7 "'Criollo'" "'Venezuela'" 3 0.61 "'Criollo'" "'Venezuela'" 2.75 0.77 "'Trinitario'" "'Venezuela'" 3.75 0.735 "'Forastero'" "'Sao Tome & Principe'" 3 0.8 "'Forastero'" "'Sao Tome & Principe'" 4 0.75 "'Forastero'" "'Sao Tome & Principe'" 1 1 "'Forastero'" "'Sao Tome & Principe'" 3 0.75 "'Trinitario'" "'Madagascar'" 2.75 0.8 "'Trinitario'" "'Venezuela'" 3.75 0.7 "'Criollo'" "'Venezuela'" 2.75 0.78 "'Trinitario'" "'Vietnam'" 3.5 0.85 "'Forastero'" "'Ghana'" 3.75 0.72 "'Forastero'" "'Sao Tome & Principe'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3.25 0.72 "'Trinitario'" "'Grenada'" 3 0.7 "'Trinitario'" "'Venezuela'" 3 0.72 "'Trinitario'" "'Trinidad'" 3.25 0.72 "'Trinitario'" "'Jamaica'" 3 0.72 "'Criollo'" "'Peru'" 3.25 0.62 "'Criollo'" "'Peru'" 3 0.72 "'Criollo'" "'Mexico'" 3 0.72 "'Trinitario'" "'Madagascar'" 2.5 0.7 "'Forastero'" "'Papua New Guinea'" 2.75 0.83 "'Trinitario'" "'Vanuatu'" 3.25 0.75 "'Forastero'" "'Tanzania'" 3.25 0.65 "'Trinitario'" "'Brazil'" 3.25 0.67 "'Trinitario'" "'Fiji'" 3.25 0.64 "'Trinitario'" "'Vanuatu'" 3.5 0.75 "'Forastero'" "'Papua New Guinea'" 3 0.7 "'Trinitario'" "'Trinidad'" 3 0.7 "'Trinitario'" "'Belize'" 3.5 0.7 "'Trinitario'" "'Belize'" 3.25 0.7 "'Trinitario'" "'Madagascar'" 3 0.75 "'Trinitario'" "'Venezuela'" 3.75 0.7 "'Trinitario'" "'Madagascar'" 4 0.7 "'Criollo'" "'Guatemala'" 3 0.75 "'Criollo'" "'Guatemala'" 3.25 0.6 "'Criollo'" "'Guatemala'" 3 0.72 "'Trinitario'" "'Vietnam'" 3 0.7 "'Trinitario'" "'Madagascar'" 2.5 0.7 "'Forastero'" "'Ghana'" 3.25 0.58 "'Forastero'" "'West Africa'" 2.5 0.7 "'Forastero'" "'Uganda'" 2.5 0.66 "'Trinitario'" "'Madagascar'" 3 0.6 "'Forastero'" "'Ghana'" 3.5 0.77 "'Trinitario'" "'Costa Rica'" 3.5 0.78 "'Trinitario'" "'Vietnam'" 2.75 0.72 "'Trinitario'" "'Belize'" 2.75 0.8 "'Trinitario'" "'Madagascar'" 3 0.72 "'Trinitario'" "'Madagascar'" 2.75 0.75 "'Criollo'" "'Venezuela'" 3.25 0.72 "'Trinitario'" "'Venezuela'" 3 0.88 "'Forastero'" "'West Africa'" 3 1 "'Criollo'" "'Venezuela'" 3.75 0.7 "'Criollo'" "'Venezuela'" 3.5 0.7 "'Criollo'" "'Venezuela'" 3 0.7 "'Trinitario'" "'Venezuela'" 3 0.7 "'Trinitario'" "'Venezuela'" 3.25 0.6 "'Trinitario'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Criollo'" "'Madagascar'" 3.75 0.7 "'Criollo'" "'Indonesia'" 3 0.7 "'Trinitario'" "'Venezuela'" 3.25 0.7 "'Trinitario'" "'Peru'" 3.5 0.7 "'Trinitario'" "'Venezuela'" 2.75 0.75 "'Trinitario'" "'Grenada'" 2.5 0.7 "'Trinitario'" "'Venezuela'" 4 0.7 "'Criollo'" "'Guatemala'" 3.5 0.7 "'Criollo'" "'Nicaragua'" 3.75 0.76 "'Criollo'" "'Nicaragua'" 3.75 0.72 "'Criollo'" "'Honduras'" 3.25 0.71 "'Criollo'" "'Nicaragua'" 2.75 0.82 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Venezuela'" 3.25 0.7 "'Trinitario'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3 0.68 "'Criollo'" "'Venezuela'" 2.75 0.605 "'Trinitario'" "'Venezuela'" 3 0.7 "'Trinitario'" "'Venezuela'" 2.5 0.74 "'Criollo'" "'Venezuela'" 2.5 0.58 "'Criollo'" "'Venezuela'" 3 0.61 "'Criollo'" "'Venezuela'" 2.75 0.7 "'Criollo'" "'Venezuela'" 3.5 0.78 "'Criollo'" "'Peru'" 3.25 0.8 "'Forastero'" "'Sao Tome & Principe'" 3.25 0.7 "'Trinitario'" "'Vietnam'" 3 0.8 "'Trinitario'" "'Vietnam'" 3.25 0.74 "'Trinitario'" "'Vietnam'" 2.75 0.7 "'Trinitario'" "'Venezuela'" 3.5 0.81 "'Criollo'" "'Venezuela'" 3 0.72 "'Criollo'" "'Venezuela'" 2.5 0.55 "'Trinitario'" "'Trinidad'" 3 0.8 "'Trinitario'" "'Belize'" 2.75 0.76 "'Trinitario'" "'Belize'" 3.5 0.58 "'Trinitario'" "'Grenada'" 3 0.64 "'Criollo'" "'Madagascar'" 3 0.65 "'Criollo'" "'Venezuela'" 2.75 0.72 "'Criollo'" "'Peru'" 3.75 0.67 "'Trinitario'" "'Tanzania'" 3 0.8 "'Trinitario'" "'Vietnam'" 3.5 0.6 "'Forastero'" "'Ghana'" 3.5 0.65 "'Trinitario'" "'Madagascar'" 2.5 0.7 "'Criollo'" "'Peru'" 4 0.7 "'Trinitario'" "'Peru'" 4 0.74 "'Trinitario'" "'Madagascar'" 4 0.69 "'Trinitario'" "'Papua New Guinea'" 3 0.69 "'Trinitario'" "'Papua New Guinea'" 2.75 0.74 "'Forastero'" "'Ghana'" 3.25 0.7 "'Trinitario'" "'Jamaica'" 3.5 0.7 "'Trinitario'" "'Jamaica'" 2.75 0.74 "'Trinitario'" "'Madagascar'" 3 0.74 "'Trinitario'" "'Madagascar'" 3.25 0.76 "'Trinitario'" "'Venezuela'" 4 0.7 "'Trinitario'" "'Venezuela'" 2.75 0.8 "'Trinitario'" "'Jamaica'" 3 0.7 "'Trinitario'" "'Jamaica'" 3.25 0.7 "'Trinitario'" "'Jamaica'" 3.5 0.65 "'Criollo'" "'Venezuela'" 3.75 0.7 "'Trinitario'" "'Trinidad'" 3.25 0.66 "'Trinitario'" "'Costa Rica'" 3.25 0.65 "'Trinitario'" "'Madagascar'" 4 0.7 "'Forastero'" "'Ghana'" 3.5 0.7 "'Trinitario'" "'Domincan Republic'" 3.5 0.8 "'Trinitario'" "'Domincan Republic'" 3.5 0.75 "'Trinitario'" "'Madagascar'" 3 0.72 "'Trinitario'" "'Vietnam'" 3.25 0.82 "'Trinitario'" "'Grenada'" 2.75 0.6 "'Trinitario'" "'Grenada'" 2.5 0.71 "'Trinitario'" "'Grenada'" 3 0.64 "'Forastero'" "'Ghana'" 3.25 0.65 "'Trinitario'" "'Jamaica'" 3 0.65 "'Trinitario'" "'Trinidad'" 3 0.65 "'Trinitario'" "'Colombia'" 2.75 0.55 "'Trinitario'" "'Ecuador'" 3 0.7 "'Trinitario'" "'Ecuador'" 2.75 0.57 "'Forastero'" "'Uganda'" 3.5 0.74 "'Criollo'" "'Venezuela'" 3 0.74 "'Trinitario'" "'Madagascar'" 2.75 0.7 "'Trinitario'" "'Madagascar'" 2.75 0.72 "'Trinitario'" "'Venezuela'" 3.25 0.75 "'Trinitario'" "'Domincan Republic'" 3.5 0.66 "'Criollo'" "'Peru'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Trinidad'" 4 0.7 "'Trinitario'" "'St. Lucia'" 1.75 1 "'Trinitario'" "'St. Lucia'" 3 0.75 "'Trinitario'" "'Trinidad'" 3.5 0.8 "'Trinitario'" "'Vietnam'" 3 0.72 "'Trinitario'" "'Madagascar'" 3 0.65 "'Trinitario'" "'St. Lucia'" 3.25 0.65 "'Trinitario'" "'St. Lucia'" 2.75 0.7 "'Trinitario'" "'Venezuela'" 2.5 0.8 "'Forastero'" "'Uganda'" 3 0.72 "'Forastero'" "'Sao Tome'" 3.5 0.7 "'Trinitario'" "'Vietnam'" 3 0.7 "'Trinitario'" "'Nicaragua'" 3.75 0.7 "'Trinitario'" "'Dominican Republic'" 3.75 0.7 "'Forastero'" "'Venezuela'" 3.75 0.72 "'Trinitario'" "'Venezuela'" 3.75 0.72 "'Criollo'" "'Venezuela'" 3.25 0.72 "'Criollo'" "'Venezuela'" 3.75 0.72 "'Criollo'" "'Venezuela'" 4 0.74 "'Criollo'" "'Venezuela'" 3.5 0.72 "'Criollo'" "'Venezuela'" 4 0.7 "'Trinitario'" "'Venezuela'" 4 0.72 "'Criollo'" "'Venezuela'" 2.75 0.72 "'Criollo'" "'Peru'" 3.5 0.72 "'Trinitario'" "'Madagascar'" 3.25 0.72 "'Trinitario'" "'Belize'" 3.5 0.7 "'Trinitario'" "'Belize'" 2 0.71 "'Trinitario'" "'Ghana'" 2.75 0.63 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Belize'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3.75 0.65 "'Trinitario'" "'Vanuatu'" 3 0.6 "'Trinitario'" "'Dominican Republic'" 3 0.72 "'Trinitario'" "'Belize'" 3.25 0.72 "'Trinitario'" "'Madagascar'" 3.25 0.9 "'Trinitario'" "'Belize'" 3.75 0.7 "'Forastero'" "'Brazil'" 2.5 0.725 "'Forastero'" "'Uganda'" 3 0.725 "'Trinitario'" "'Madagascar'" 3.75 0.68 "'Trinitario'" "'Venezuela'" 3.25 0.75 "'Trinitario'" "'Grenada'" 3.5 0.64 "'Trinitario'" "'Madagascar'" 3 0.7 "'Criollo'" "'Peru'" 3.5 0.68 "'Trinitario'" "'Grenada'" 3.25 0.68 "'Forastero'" "'Ghana'" 2.75 0.75 "'Trinitario'" "'Madagascar'" 2.75 0.75 "'Trinitario'" "'Vietnam'" 3.5 0.75 "'Forastero'" "'Sao Tome'" 3.75 0.75 "'Trinitario'" "'Vietnam'" 3.5 0.8 "'Trinitario'" "'Nicaragua'" 3 0.75 "'Trinitario'" "'Venezuela'" 3 0.75 "'Trinitario'" "'Venezuela'" 3 0.72 "'Criollo'" "'Peru. Ecuador. Venezuela'" 3.5 0.7 "'Trinitario'" "'Trinidad'" 3.5 0.71 "'Criollo'" "'Madagascar'" 3 0.7 "'Trinitario'" "'Madagascar'" 3.5 0.65 "'Criollo'" "'Peru'" 3.5 0.68 "'Criollo'" "'Bolivia'" 3.5 0.68 "'Criollo'" "'Bolivia'" 3.5 0.67 "'Trinitario'" "'Madagascar'" 3.75 0.7 "'Trinitario'" "'Madagascar'" 4 0.63 "'Trinitario'" "'Madagascar'" 3.5 0.75 "'Trinitario'" "'Madagascar'" 3.25 0.7 "'Criollo'" "'Hawaii'" 3.25 0.7 "'Criollo'" "'Cuba'" 2.75 0.75 "'Trinitario'" "'Madagascar'" 3.5 0.73 "'Trinitario'" "'Madagascar'" 3.5 0.65 "'Trinitario'" "'Philippines'" 3.75 0.7 "'Criollo'" "'Venezuela'" 3.5 0.7 "'Forastero'" "'Ghana'" 3.25 0.75 "'Trinitario'" "'Vietnam'" 3.5 0.7 "'Trinitario'" "'Ecuador'" 2.75 0.7 "'Trinitario'" "'Trinidad'" 3.5 0.68 "'Criollo'" "'Peru'" 3.25 0.85 "'Trinitario'" "'Vietnam'" 3.5 0.68 "'Trinitario'" "'Vietnam'" 3.75 0.7 "'Trinitario'" "'Vietnam'" 3.5 0.75 "'Trinitario'" "'Vietnam'" 3.5 0.76 "'Trinitario'" "'Vietnam'" 3.5 0.72 "'Trinitario'" "'Vietnam'" 3.5 0.7 "'Trinitario'" "'Vietnam'" 3.5 0.78 "'Trinitario'" "'Vietnam'" 3 0.8 "'Trinitario'" "'Vietnam'" 3.5 0.74 "'Trinitario'" "'Vietnam'" 3.5 0.65 "'Forastero'" "'Ghana'" 2.75 0.73 "'Trinitario'" "'Venezuela'" 3 0.76 "'Trinitario'" "'Venezuela'" 3 0.7 "'Trinitario'" "'Venezuela'" 2.75 0.81 "'Trinitario'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Belize'" 2.75 0.81 "'Criollo'" "'Venezuela'" 3.5 0.72 "'Trinitario'" "'Vanuatu'" 4 0.68 "'Trinitario'" "'Madagascar'" 4 0.74 "'Trinitario'" "'Papua New Guinea'" 3.75 0.7 "'Trinitario'" "'PNG. Vanuatu. Mad'" 3.25 0.7 "'Trinitario'" "'Belize'" 3.25 0.82 "'Criollo'" "'Peru'" 3.5 0.63 "'Criollo'" "'Peru'" 3 0.7 "'Trinitario'" "'Belize'" 2.5 0.8 "'Trinitario'" "'Madagascar'" 2.5 0.72 "'Trinitario'" "'Madagascar'" 3.5 0.72 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'South America'" 3.5 0.66 "'Trinitario'" "'Venezuela'" 3.5 0.67 "'Forastero'" "'Sao Tome'" 3 0.7 "'Forastero'" "'Sao Tome'" 4 0.65 "'Trinitario'" "'Madagascar'" 3.5 0.8 "'Trinitario'" "'Belize'" 3.5 0.7 "'Trinitario'" "'Trinidad'" 3.25 0.8 "'Trinitario'" "'Belize'" 2 0.75 "'Criollo'" "'Bolivia'" 2.5 0.7 "'Criollo'" "'Indonesia'" 3.25 0.73 "'Trinitario'" "'Belize'" 3 0.72 "'Trinitario'" "'Belize'" 2.75 0.67 "'Trinitario'" "'Belize'" 3 0.8 "'Trinitario'" "'Vietnam'" 2.5 0.71 "'Trinitario'" "'Grenada'" 3.25 0.7 "'Criollo'" "'Nicaragua'" 2.75 0.75 "'Trinitario'" "'Venezuela'" 2.5 0.735 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Forastero'" "'Ghana'" 2.5 0.7 "'Criollo'" "'Papua New Guinea'" 3.75 0.67 "'Trinitario'" "'Trinidad'" 2 0.73 "'Forastero'" "'West Africa'" 2.75 0.75 "'Forastero'" "'Sao Tome'" 3 0.71 "'Criollo'" "'Venezuela'" 2.25 0.72 "'Criollo'" "'Venezuela'" 2.75 0.72 "'Trinitario'" "'Dominican Republic'" 3 0.72 "'Trinitario'" "'Madagascar'" 3 0.72 "'Criollo'" "'Peru'" 3 0.75 "'Forastero'" "'Ghana'" 3 0.75 "'Trinitario'" "'Belize'" 3.75 0.7 "'Forastero'" "'Ghana'" 2.75 0.7 "'Trinitario'" "'Ecuador'" 3 0.7 "'Criollo'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 2.5 0.7 "'Trinitario'" "'Jamaica'" 3.75 0.7 "'Criollo'" "'Peru'" 3.75 0.7 "'Criollo'" "'Peru'" 3.75 0.7 "'Forastero'" "'Congo'" 4 0.75 "'Criollo'" "'Peru'" 2.75 0.7 "'Trinitario'" "'Trinidad'" 3.5 0.7 "'Criollo'" "'Bolivia'" 3 0.72 "'Forastero'" "'Ghana'" 2.75 0.8 "'Forastero'" "'Ghana'" 3.75 0.7 "'Trinitario'" "'Tanzania'" 3.5 0.66 "'Trinitario'" "'Madagascar'" 2.75 0.74 "'Trinitario'" "'Belize'" 2.75 0.72 "'Trinitario'" "'Nicaragua'" 3 0.72 "'Trinitario'" "'Ecuador'" 3 0.7 "'Forastero'" "'Congo'" 3 0.75 "'Criollo'" "'Peru'" 3 0.6 "'Criollo'" "'Hawaii'" 3 0.72 "'Trinitario'" "'Belize'" 3.25 0.7 "'Trinitario'" "'Trinidad'" 3.75 0.72 "'Trinitario'" "'Vietnam'" 3.75 0.78 "'Trinitario'" "'Madagascar'" 3.75 0.7 "'Trinitario'" "'Trinidad'" 4 0.75 "'Trinitario'" "'Madagascar'" 3.5 0.67 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Venezuela'" 4 0.7 "'Trinitario'" "'Madagascar'" 2.25 0.73 "'Trinitario'" "'Madagascar'" 2.75 0.64 "'Trinitario'" "'Madagascar'" 3.25 0.7 "'Forastero'" "'Cameroon'" 3 0.75 "'Criollo'" "'Venezuela'" 3.25 0.75 "'Trinitario'" "'Trinidad'" 3 0.85 "'Criollo'" "'Peru'" 3 0.72 "'Forastero'" "'Brazil'" 3 0.72 "'Criollo'" "'Mexico'" 4 0.72 "'Trinitario'" "'Madagascar'" 4 0.72 "'Criollo'" "'Mexico'" 3 0.72 "'Criollo'" "'Indonesia'" 4 0.72 "'Criollo'" "'Venezuela'" 2.75 0.8 "'Trinitario'" "'Nicaragua'" 3.25 0.73 "'Trinitario'" "'Madagascar'" 2.5 0.73 "'Trinitario'" "'Fiji'" 2.75 0.82 "'Criollo'" "'Peru'" 3.5 0.75 "'Trinitario'" "'Venezuela'" 3 0.75 "'Trinitario'" "'Papua New Guinea'" 3 1 "'Criollo'" "'Madagascar'" 4 0.75 "'Forastero'" "'Sao Tome'" 3 0.75 "'Forastero'" "'Brazil'" 3.5 0.75 "'Criollo'" "'Tanzania'" 3.5 0.75 "'Forastero'" "'Sao Tome & Principe'" 3.5 0.75 "'Trinitario'" "'Trinidad'" 3.75 0.75 "'Criollo'" "'Madagascar'" 3.5 0.75 "'Criollo'" "'Indonesia'" 3.5 0.75 "'Trinitario'" "'Venezuela'" 4 0.75 "'Trinitario'" "'Jamaica'" 3 0.75 "'Trinitario'" "'Ecuador'" 3 0.75 "'Trinitario'" "'Vanuatu'" 3.25 0.75 "'Forastero'" "'Ghana'" 3.5 0.75 "'Trinitario'" "'Colombia'" 3 0.75 "'Trinitario'" "'Cuba'" 3.5 0.7 "'Trinitario'" "'Grenada'" 3.5 0.74 "'Criollo'" "'Madagascar'" 2.75 0.75 "'Trinitario'" "'Venezuela'" 3.25 0.72 "'Trinitario'" "'Madagascar'" 2.75 0.7 "'Criollo'" "'Mexico'" 3 0.74 "'Trinitario'" "'Mexico'" 2.75 0.75 "'Forastero'" "'Congo'" 3.25 0.75 "'Trinitario'" "'Madagascar'" 3.5 0.73 "'Criollo'" "'Peru'" 3.25 0.75 "'Criollo'" "'Peru'" 3.75 0.75 "'Trinitario'" "'Belize'" 4 0.75 "'Trinitario'" "'Madagascar'" 3.5 0.75 "'Trinitario'" "'Trinidad'" 3.25 0.75 "'Trinitario'" "'Madagascar'" 3.25 0.68 "'Trinitario'" "'Madagascar'" 3.5 0.66 "'Trinitario'" "'Grenada'" 3.75 0.8 "'Criollo'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3.75 0.75 "'Trinitario'" "'Jamaica'" 3 0.75 "'Criollo'" "'Bolivia'" 3.5 0.7 "'Trinitario'" "'Venezuela'" 2.75 0.7 "'Trinitario'" "'Jamaica'" 2.75 0.7 "'Trinitario'" "'Madagascar'" 3 0.7 "'Trinitario'" "'Trinidad'" 2.25 0.76 "'Trinitario'" "'Venezuela'" 2.5 0.72 "'Trinitario'" "'Madagascar'" 3.5 0.73 "'Criollo'" "'Venezuela'" 2.75 0.77 "'Forastero'" "'Principe'" 3.5 0.64 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Forastero'" "'Brazil'" 3.5 0.7 "'Trinitario'" "'Venezuela'" 2.75 0.7 "'Forastero'" "'Sao Tome'" 3.5 0.68 "'Trinitario'" "'Grenada'" 4 0.65 "'Forastero'" "'Ghana'" 3.75 0.72 "'Trinitario'" "'Vietnam'" 2 0.7 "'Trinitario'" "'Jamaica'" 3.25 0.72 "'Trinitario'" "'Jamaica'" 3.5 0.73 "'Forastero'" "'Papua New Guinea'" 2.75 0.77 "'Criollo'" "'Venezuela'" 3 0.75 "'Trinitario'" "'Ecuador'" 3.5 0.75 "'Criollo'" "'Peru'" 3 0.67 "'Criollo'" "'Belize'" 3.25 0.65 "'Forastero'" "'Sao Tome'" 3.25 0.6 "'Trinitario'" "'Brazil'" 3 1 "'Trinitario'" "'Madagascar'" 3.75 0.67 "'Trinitario'" "'Madagascar'" 3.75 0.73 "'Trinitario'" "'Madagascar'" 2.75 0.7 "'Forastero'" "'Ghana'" 3.75 0.7 "'Criollo'" "'Venezuela'" 4 0.7 "'Criollo'" "'Ecuador'" 3 0.7 "'Trinitario'" "'Vietnam'" 3.25 0.65 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3.75 0.7 "'Trinitario'" "'Trinidad'" 3.75 0.7 "'Trinitario'" "'Venezuela'" 1.5 0.67 "'Forastero'" "'Ghana'" 3 0.68 "'Trinitario'" "'Madagascar'" 3 0.72 "'Trinitario'" "'Madagascar'" 3 0.7 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Madagascar'" 3.75 0.7 "'Trinitario'" "'Nicaragua'" 4 0.7 "'Trinitario'" "'Vietnam'" 3.5 0.7 "'Criollo'" "'Venezuela'" 3.25 0.7 "'Trinitario'" "'Nicaragua'" 3.75 0.77 "'Trinitario'" "'Dominican Republic'" 3.25 0.7 "'Criollo'" "'Indonesia'" 2.75 0.7 "'Criollo'" "'Peru'" 3.75 0.7 "'Trinitario'" "'Trinidad'" 3.75 0.7 "'Criollo'" "'Venezuela'" 4 0.7 "'Criollo'" "'Venezuela'" 3.25 0.7 "'Forastero'" "'Venezuela'" 4 0.7 "'Trinitario'" "'Jamaica'" 3.5 0.7 "'Trinitario'" "'Guatemala'" 3.75 0.7 "'Trinitario'" "'Venezuela'" 3.5 0.85 "'Trinitario'" "'Papua New Guinea'" 2.75 0.7 "'Trinitario'" "'Grenada'" 3.75 0.7 "'Forastero'" "'Dominican Republic'" 3.5 0.7 "'Criollo'" "'Venezuela'" 3 0.7 "'Forastero'" "'Dominican Republic'" 3.5 0.7 "'Forastero'" "'Ghana'" 3 0.7 "'Trinitario'" "'Dominican Republic'" 3.5 0.7 "'Trinitario'" "'Papua New Guinea'" 3.75 0.7 "'Criollo'" "'Madagascar'" 3.75 0.7 "'Criollo'" "'Venezuela'" 2.75 0.72 "'Trinitario'" "'Vanuatu'" 3 0.7 "'Criollo'" "'Bolivia'" 3 0.7 "'Trinitario'" "'Madagascar'" 2.75 0.68 "'Trinitario'" "'Brazil'" 2.75 0.67 "'Trinitario'" "'Madagascar'" 3.25 0.78 "'Trinitario'" "'Belize'" 3.25 0.88 "'Trinitario'" "'Cuba'" 3.25 0.7 "'Trinitario'" "'Madagascar'" 3.25 0.7 "'Trinitario'" "'Vietnam'" 3.5 0.7 "'Criollo'" "'Venezuela'" 3.75 0.7 "'Trinitario'" "'Cuba'" 3.5 0.7 "'Criollo'" "'Madagascar'" 3.5 0.7 "'Criollo'" "'Madagascar'" 3.25 0.6 "'Trinitario'" "'Vietnam'" 2.75 0.77 "'Trinitario'" "'Trinidad'" 3.25 0.7 "'Trinitario'" "'Suriname'" 3 0.68 "'Trinitario'" "'Belize'" 2 0.62 "'Forastero'" "'West Africa'" 2.5 0.7 "'Forastero'" "'Ghana'" 3.75 0.7 "'Trinitario'" "'Belize'" 3.75 0.7 "'Trinitario'" "'Madagascar'" 3.75 0.7 "'Trinitario'" "'Guatemala'" 3.75 0.67 "'Trinitario'" "'Madagascar'" 3.75 0.73 "'Forastero'" "'Uganda'" 3.25 0.65 "'Forastero'" "'Congo'" 3.5 0.65 "'Trinitario'" "'Madagascar'" 3 0.84 "'Forastero'" "'Ghana'" 4 0.7 "'Trinitario'" "'Tobago'" 3 0.77 "'Criollo'" "'Bolivia'" 3.5 0.75 "'Trinitario'" "'Madagascar'" 3 0.6 "'Criollo'" "'Peru'" 3 0.72 "'Trinitario'" "'Madagascar'" 3.25 0.65 "'Trinitario'" "'Venezuela'" 4 0.64 "'Criollo'" "'Venezuela'" 3.5 0.68 "'Forastero'" "'Ghana'" 3.75 0.65 "'Trinitario'" "'Venezuela'" 2.5 0.85 "'Forastero'" "'West Africa'" 2.75 0.71 "'Forastero'" "'West Africa'" 3 0.66 "'Trinitario'" "'Carribean'" 2.5 0.64 "'Trinitario'" "'Trinidad'" 3.5 0.64 "'Trinitario'" "'Madagascar'" 2.5 0.72 "'Forastero'" "'Ghana'" 2.75 0.65 "'Forastero'" "'Ghana'" 2.75 0.72 "'Trinitario'" "'Madagascar'" 2.75 0.76 "'Trinitario'" "'Madagascar'" 2.75 0.8 "'Trinitario'" "'Madagascar'" 3 0.7 "'Trinitario'" "'Madagascar'" 3 0.68 "'Trinitario'" "'Madagascar'" 3.25 0.64 "'Trinitario'" "'Madagascar'" 3.5 0.75 "'Trinitario'" "'Trinidad'" 3.5 0.7 "'Trinitario'" "'Vietnam'" 2.75 0.77 "'Trinitario'" "'Madagascar'" 3 0.77 "'Criollo'" "'Venezuela'" 2.75 0.77 "'Trinitario'" "'Guatemala'" 3.5 0.7 "'Trinitario'" "'Dominican Republic'" 2.5 0.72 "'Forastero'" "'Ghana'" 2.5 0.75 "'Criollo'" "'Peru'" 2.75 0.89 "'Criollo'" "'Peru'" 3.25 0.75 "'Criollo'" "'Peru'" 2.75 0.75 "'Criollo'" "'Peru'" 3 0.88 "'Trinitario'" "'Colombia'" 3 0.71 "'Trinitario'" "'Madagascar'" 3.25 0.72 "'Trinitario'" "'Venezuela'" 3 0.74 "'Criollo'" "'Venezuela'" 3.5 0.7 "'Trinitario'" "'Trinidad'" 3.25 0.7 "'Trinitario'" "'Madagascar'" 3.25 0.7 "'Trinitario'" "'Madagascar'" 3.5 0.7 "'Trinitario'" "'Belize'" 2.75 0.85 "'Trinitario'" "'Trinidad'" 3.5 0.78 "'Trinitario'" "'Trinidad'" 3.5 0.66 "'Trinitario'" "'Papua New Guinea'" 3.25 0.68 "'Forastero'" "'Congo'" 3 0.65 "'Forastero'" "'Congo'" 3.5 0.65 "'Forastero'" "'India'"
Names of X columns:
Rating Cacao_Percent Bean_Type Bean_Origin
Sample Range:
(leave blank to include all observations)
From:
To:
Column Number of Endogenous Series
(?)
Fixed Seasonal Effects
Do not include Seasonal Dummies
Do not include Seasonal Dummies
Include Seasonal Dummies
Type of Equation
No Linear Trend
No Linear Trend
Linear Trend
First Differences
Seasonal Differences (s)
First and Seasonal Differences (s)
Degree of Predetermination (lagged endogenous variables)
Degree of Seasonal Predetermination
Seasonality
12
12
1
2
3
4
5
6
7
8
9
10
11
12
Chart options
R Code
library(lattice) library(lmtest) library(car) library(MASS) n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test mywarning <- '' par6 <- as.numeric(par6) if(is.na(par6)) { par6 <- 12 mywarning = 'Warning: you did not specify the seasonality. The seasonal period was set to s = 12.' } par1 <- as.numeric(par1) if(is.na(par1)) { par1 <- 1 mywarning = 'Warning: you did not specify the column number of the endogenous series! The first column was selected by default.' } if (par4=='') par4 <- 0 par4 <- as.numeric(par4) if (!is.numeric(par4)) par4 <- 0 if (par5=='') par5 <- 0 par5 <- as.numeric(par5) if (!is.numeric(par5)) par5 <- 0 x <- na.omit(t(y)) k <- length(x[1,]) n <- length(x[,1]) x1 <- cbind(x[,par1], x[,1:k!=par1]) mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1]) colnames(x1) <- mycolnames #colnames(x)[par1] x <- x1 if (par3 == 'First Differences'){ (n <- n -1) x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep=''))) for (i in 1:n) { for (j in 1:k) { x2[i,j] <- x[i+1,j] - x[i,j] } } x <- x2 } if (par3 == 'Seasonal Differences (s)'){ (n <- n - par6) x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-Bs)',colnames(x),sep=''))) for (i in 1:n) { for (j in 1:k) { x2[i,j] <- x[i+par6,j] - x[i,j] } } x <- x2 } if (par3 == 'First and Seasonal Differences (s)'){ (n <- n -1) x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep=''))) for (i in 1:n) { for (j in 1:k) { x2[i,j] <- x[i+1,j] - x[i,j] } } x <- x2 (n <- n - par6) x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-Bs)',colnames(x),sep=''))) for (i in 1:n) { for (j in 1:k) { x2[i,j] <- x[i+par6,j] - x[i,j] } } x <- x2 } if(par4 > 0) { x2 <- array(0, dim=c(n-par4,par4), dimnames=list(1:(n-par4), paste(colnames(x)[par1],'(t-',1:par4,')',sep=''))) for (i in 1:(n-par4)) { for (j in 1:par4) { x2[i,j] <- x[i+par4-j,par1] } } x <- cbind(x[(par4+1):n,], x2) n <- n - par4 } if(par5 > 0) { x2 <- array(0, dim=c(n-par5*par6,par5), dimnames=list(1:(n-par5*par6), paste(colnames(x)[par1],'(t-',1:par5,'s)',sep=''))) for (i in 1:(n-par5*par6)) { for (j in 1:par5) { x2[i,j] <- x[i+par5*par6-j*par6,par1] } } x <- cbind(x[(par5*par6+1):n,], x2) n <- n - par5*par6 } if (par2 == 'Include Seasonal Dummies'){ x2 <- array(0, dim=c(n,par6-1), dimnames=list(1:n, paste('M', seq(1:(par6-1)), sep =''))) for (i in 1:(par6-1)){ x2[seq(i,n,par6),i] <- 1 } x <- cbind(x, x2) } if (par2 == 'Include Monthly Dummies'){ x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep =''))) for (i in 1:11){ x2[seq(i,n,12),i] <- 1 } x <- cbind(x, x2) } if (par2 == 'Include Quarterly Dummies'){ x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep =''))) for (i in 1:3){ x2[seq(i,n,4),i] <- 1 } x <- cbind(x, x2) } (k <- length(x[n,])) if (par3 == 'Linear Trend'){ x <- cbind(x, c(1:n)) colnames(x)[k+1] <- 't' } print(x) (k <- length(x[n,])) head(x) df <- as.data.frame(x) (mylm <- lm(df)) (mysum <- summary(mylm)) if (n > n25) { kp3 <- k + 3 nmkm3 <- n - k - 3 gqarr <- array(NA, dim=c(nmkm3-kp3+1,3)) numgqtests <- 0 numsignificant1 <- 0 numsignificant5 <- 0 numsignificant10 <- 0 for (mypoint in kp3:nmkm3) { j <- 0 numgqtests <- numgqtests + 1 for (myalt in c('greater', 'two.sided', 'less')) { j <- j + 1 gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value } if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1 if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1 if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1 } gqarr } bitmap(file='test0.png') plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index') points(x[,1]-mysum$resid) grid() dev.off() bitmap(file='test1.png') plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index') grid() dev.off() bitmap(file='test2.png') sresid <- studres(mylm) hist(sresid, freq=FALSE, main='Distribution of Studentized Residuals') xfit<-seq(min(sresid),max(sresid),length=40) yfit<-dnorm(xfit) lines(xfit, yfit) grid() dev.off() bitmap(file='test3.png') densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') dev.off() bitmap(file='test4.png') qqPlot(mylm, main='QQ Plot') grid() dev.off() (myerror <- as.ts(mysum$resid)) bitmap(file='test5.png') dum <- cbind(lag(myerror,k=1),myerror) dum dum1 <- dum[2:length(myerror),] dum1 z <- as.data.frame(dum1) print(z) plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals') lines(lowess(z)) abline(lm(z)) grid() dev.off() bitmap(file='test6.png') acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function') grid() dev.off() bitmap(file='test7.png') pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function') grid() dev.off() bitmap(file='test8.png') opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0)) plot(mylm, las = 1, sub='Residual Diagnostics') par(opar) dev.off() if (n > n25) { bitmap(file='test9.png') plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint') grid() dev.off() } load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE) a<-table.row.end(a) myeq <- colnames(x)[1] myeq <- paste(myeq, '[t] = ', sep='') for (i in 1:k){ if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '') myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ') if (rownames(mysum$coefficients)[i] != '(Intercept)') { myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='') if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='') } } myeq <- paste(myeq, ' + e[t]') a<-table.row.start(a) a<-table.element(a, myeq) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, mywarning) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Multiple Linear Regression - Ordinary Least Squares', 6, TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',header=TRUE) a<-table.element(a,'Parameter',header=TRUE) a<-table.element(a,'S.D.',header=TRUE) a<-table.element(a,'T-STAT<br />H0: parameter = 0',header=TRUE) a<-table.element(a,'2-tail p-value',header=TRUE) a<-table.element(a,'1-tail p-value',header=TRUE) a<-table.row.end(a) for (i in 1:k){ a<-table.row.start(a) a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE) a<-table.element(a,formatC(signif(mysum$coefficients[i,1],5),format='g',flag='+')) a<-table.element(a,formatC(signif(mysum$coefficients[i,2],5),format='g',flag=' ')) a<-table.element(a,formatC(signif(mysum$coefficients[i,3],4),format='e',flag='+')) a<-table.element(a,formatC(signif(mysum$coefficients[i,4],4),format='g',flag=' ')) a<-table.element(a,formatC(signif(mysum$coefficients[i,4]/2,4),format='g',flag=' ')) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Multiple R',1,TRUE) a<-table.element(a,formatC(signif(sqrt(mysum$r.squared),6),format='g',flag=' ')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'R-squared',1,TRUE) a<-table.element(a,formatC(signif(mysum$r.squared,6),format='g',flag=' ')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Adjusted R-squared',1,TRUE) a<-table.element(a,formatC(signif(mysum$adj.r.squared,6),format='g',flag=' ')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'F-TEST (value)',1,TRUE) a<-table.element(a,formatC(signif(mysum$fstatistic[1],6),format='g',flag=' ')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE) a<-table.element(a, signif(mysum$fstatistic[2],6)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE) a<-table.element(a, signif(mysum$fstatistic[3],6)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'p-value',1,TRUE) a<-table.element(a,formatC(signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6),format='g',flag=' ')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Residual Standard Deviation',1,TRUE) a<-table.element(a,formatC(signif(mysum$sigma,6),format='g',flag=' ')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Sum Squared Residuals',1,TRUE) a<-table.element(a,formatC(signif(sum(myerror*myerror),6),format='g',flag=' ')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable3.tab') myr <- as.numeric(mysum$resid) myr a <-table.start() a <- table.row.start(a) a <- table.element(a,'Menu of Residual Diagnostics',2,TRUE) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'Description',1,TRUE) a <- table.element(a,'Link',1,TRUE) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Histogram',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_histogram.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Central Tendency',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_centraltendency.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'QQ Plot',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_fitdistrnorm.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Kernel Density Plot',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_density.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Skewness/Kurtosis Test',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_skewness_kurtosis.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Skewness-Kurtosis Plot',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_skewness_kurtosis_plot.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Harrell-Davis Plot',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_harrell_davis.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Bootstrap Plot -- Central Tendency',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_bootstrapplot1.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Blocked Bootstrap Plot -- Central Tendency',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_bootstrapplot.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'(Partial) Autocorrelation Plot',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_autocorrelation.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Spectral Analysis',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_spectrum.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Tukey lambda PPCC Plot',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_tukeylambda.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <-table.element(a,'Box-Cox Normality Plot',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_boxcoxnorm.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'Summary Statistics',1,header=TRUE) a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_summary1.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1) a <- table.row.end(a) a<-table.end(a) table.save(a,file='mytable7.tab') if(n < 200) { a<-table.start() a<-table.row.start(a) a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, 'Time or Index', 1, TRUE) a<-table.element(a, 'Actuals', 1, TRUE) a<-table.element(a, 'Interpolation<br />Forecast', 1, TRUE) a<-table.element(a, 'Residuals<br />Prediction Error', 1, TRUE) a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,i, 1, TRUE) a<-table.element(a,formatC(signif(x[i],6),format='g',flag=' ')) a<-table.element(a,formatC(signif(x[i]-mysum$resid[i],6),format='g',flag=' ')) a<-table.element(a,formatC(signif(mysum$resid[i],6),format='g',flag=' ')) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable4.tab') if (n > n25) { a<-table.start() a<-table.row.start(a) a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-values',header=TRUE) a<-table.element(a,'Alternative Hypothesis',3,header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'breakpoint index',header=TRUE) a<-table.element(a,'greater',header=TRUE) a<-table.element(a,'2-sided',header=TRUE) a<-table.element(a,'less',header=TRUE) a<-table.row.end(a) for (mypoint in kp3:nmkm3) { a<-table.row.start(a) a<-table.element(a,mypoint,header=TRUE) a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,1],6),format='g',flag=' ')) a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,2],6),format='g',flag=' ')) a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,3],6),format='g',flag=' ')) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable5.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description',header=TRUE) a<-table.element(a,'# significant tests',header=TRUE) a<-table.element(a,'% significant tests',header=TRUE) a<-table.element(a,'OK/NOK',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'1% type I error level',header=TRUE) a<-table.element(a,signif(numsignificant1,6)) a<-table.element(a,formatC(signif(numsignificant1/numgqtests,6),format='g',flag=' ')) if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK' a<-table.element(a,dum) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'5% type I error level',header=TRUE) a<-table.element(a,signif(numsignificant5,6)) a<-table.element(a,signif(numsignificant5/numgqtests,6)) if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK' a<-table.element(a,dum) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'10% type I error level',header=TRUE) a<-table.element(a,signif(numsignificant10,6)) a<-table.element(a,signif(numsignificant10/numgqtests,6)) if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK' a<-table.element(a,dum) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable6.tab') } } a<-table.start() a<-table.row.start(a) a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of fitted values',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) reset_test_fitted <- resettest(mylm,power=2:3,type='fitted') a<-table.element(a,paste('<pre>',RC.texteval('reset_test_fitted'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of regressors',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) reset_test_regressors <- resettest(mylm,power=2:3,type='regressor') a<-table.element(a,paste('<pre>',RC.texteval('reset_test_regressors'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of principal components',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) reset_test_principal_components <- resettest(mylm,power=2:3,type='princomp') a<-table.element(a,paste('<pre>',RC.texteval('reset_test_principal_components'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable8.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Variance Inflation Factors (Multicollinearity)',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) vif <- vif(mylm) a<-table.element(a,paste('<pre>',RC.texteval('vif'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable9.tab')
Compute
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Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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