> # CSC 121, Jan-Apr 2017, Small Assignment #3, Use on the weather data > > d <- read.table("http://www.cs.utoronto.ca/~radford/csc121/sma3-data",hea .... [TRUNCATED] > d$temperature <- na_interpolate(d$temperature) > d$pressure <- na_interpolate(d$pressure) > print(d) day hour raining snowing temperature pressure 1 1 0 FALSE FALSE 6.100000 100.3000 2 1 1 FALSE FALSE 5.800000 100.7000 3 1 2 FALSE FALSE 5.100000 100.8000 4 1 3 FALSE FALSE 5.000000 100.9000 5 1 4 FALSE FALSE 4.700000 100.7200 6 1 5 FALSE FALSE 3.766667 100.5400 7 1 6 FALSE FALSE 2.833333 100.3600 8 1 7 FALSE FALSE 1.900000 100.1800 9 1 8 FALSE FALSE 0.600000 100.0000 10 1 9 FALSE FALSE 0.700000 99.9000 11 1 10 FALSE FALSE 0.700000 99.8000 12 1 11 FALSE FALSE 1.100000 99.6000 13 1 12 FALSE FALSE 2.200000 99.6000 14 1 13 FALSE FALSE 3.100000 99.5000 15 1 14 FALSE FALSE 2.900000 99.7000 16 1 15 TRUE FALSE 2.100000 99.7000 17 1 16 TRUE FALSE 1.100000 99.8000 18 1 17 FALSE TRUE 0.100000 99.8000 19 1 18 FALSE FALSE 0.300000 99.9000 20 1 19 FALSE FALSE -0.100000 100.0000 21 1 20 FALSE FALSE -0.200000 100.1000 22 1 21 FALSE FALSE -0.900000 100.0000 23 1 22 FALSE FALSE -1.300000 100.1000 24 1 23 FALSE FALSE -2.300000 100.2000 25 2 0 FALSE FALSE -3.400000 100.2000 26 2 1 FALSE FALSE -4.500000 100.1000 27 2 2 FALSE FALSE -4.300000 100.1000 28 2 3 FALSE FALSE -4.100000 100.0000 29 2 4 FALSE FALSE -4.200000 99.9000 30 2 5 FALSE FALSE -4.900000 100.0000 31 2 6 FALSE FALSE -4.100000 100.0000 32 2 7 FALSE FALSE -3.650000 100.1000 33 2 8 FALSE FALSE -3.200000 100.3000 34 2 9 FALSE FALSE -2.900000 100.4000 35 2 10 FALSE FALSE -2.000000 100.4000 36 2 11 FALSE FALSE -1.100000 100.2000 37 2 12 FALSE FALSE -0.800000 100.1333 38 2 13 FALSE FALSE -0.300000 100.0667 39 2 14 FALSE FALSE 0.100000 100.0000 40 2 15 FALSE FALSE 0.300000 100.1000 41 2 16 FALSE FALSE 0.700000 100.2000 42 2 17 FALSE FALSE 0.500000 100.2000 43 2 18 FALSE FALSE 0.100000 100.1000 44 2 19 FALSE FALSE -0.200000 100.0500 45 2 20 FALSE FALSE -0.700000 100.0000 46 2 21 FALSE FALSE -0.900000 99.9000 47 2 22 FALSE FALSE -0.900000 99.8000 48 2 23 FALSE FALSE -0.900000 99.9000