tests/runitGetBaseline.R

In lpNet: Linear Programming Model for Network Inference

test.getBaseline <- function() {

	n <- 3
	K <- 4
	
	true_result = c(0.7550000, 0.0000000, 0.0000000)
	
	res <- list()
	
	res$solution <- c(0.0000000, 0.7947368, 0.0000000, 
										0.0000000, 0.0000000, 1.9358974, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 1.1411606, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.7550000, 0.0000000, 0.0000000, 
										0.0000000, 0.4450526, 0.4450526, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000)
	
	res$objective <- c(0, 1, 1, 1, 0, 1, 1, 1, 0, 0,
										 1, 1, 1, 0, 1, 1, 1, 0, 1, 1,
										 1, 10, 10, 10, 10, 10, 10, 10,
										 10, 10, 10, 10, 10)

	names(res$objective) <- c("w+_1_1", "w+_1_2", "w+_1_3", 
														"w+_2_1", "w+_2_2", "w+_2_3", 
														"w+_3_1", "w+_3_2", "w+_3_3", 
														"w-_1_1", "w-_1_2", "w-_1_3", 
														"w-_2_1", "w-_2_2", "w-_2_3", 
														"w-_3_1", "w-_3_2", "w-_3_3", 
														"w_1_^_0", "w_2_^_0", "w_3_^_0",
														"s_1", "s_2", "s_3", "s_4", 
														"s_5", "s_6", "s_7", "s_8",
														"s_9", "s_10", "s_11", "s_12")

	adja = getBaseline(res, n)
	
	checkEquals(true_result, adja)
	
}


test.getBaselineTimeSeries<- function() {

	n <- 3
	
	true_result = c(0.7550000, 0.0000000, 0.0000000)

	res = list()
	res$solution <- c(0.0000000, 0.7947368, 0.0000000, 
										0.0000000, 0.0000000, 0.7947368, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.7550000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000,
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000, 
										0.0000000, 0.0000000, 0.0000000)
										
	res$objective <- c(0, 1, 1, 1, 0, 1, 1, 1, 0, 0,
										 1, 1, 1, 0, 1, 1, 1, 0, 1, 1,
										 1, 10, 10, 10, 10, 10, 10, 10,
										 10, 10, 10, 10, 10, 10, 10, 10, 
										 10, 10, 10, 10, 10, 10, 10, 10,
										 10, 10, 10, 10, 10, 10, 10, 10,
										 10, 10, 10, 10, 10)

	names(res$objective) <- c("w+_1_1", "w+_1_2", "w+_1_3", 
														"w+_2_1", "w+_2_2", "w+_2_3", 
														"w+_3_1", "w+_3_2", "w+_3_3", 
														"w-_1_1", "w-_1_2", "w-_1_3", 
														"w-_2_1", "w-_2_2", "w-_2_3", 
														"w-_3_1", "w-_3_2", "w-_3_3", 
														"w_1_^_0", "w_2_^_0", "w_3_^_0",
														"s_1", "s_2", "s_3", "s_4", 
														"s_5", "s_6", "s_7", "s_8",
														"s_9", "s_10", "s_11", "s_12",
														"s_13", "s_14", "s_15", "s_16",
														"s_17", "s_18", "s_19", "s_20",
														"s_21", "s_22", "s_23", "s_24",
														"s_25", "s_26", "s_27", "s_28",
														"s_29", "s_30", "s_31", "s_32",
														"s_33", "s_34", "s_35", "s_36")
														 

	adja = getBaseline(res, n)
	
	checkEquals(true_result, adja)
}