About imanojkumar1

imanojkumar1 · ‎12-27-2016

Just couple of modifications: YearMonth = mdy(Month,1,Year); format YearMonth monyy7.; and... proc summary data=have nway; class MC YearMonth; var MV; output out=stats(drop=_type_ _FREQ_) min=MinMV max=MaxMV; run;

imanojkumar1 · ‎12-27-2016

For the following data, How can I compute Min and Max of MV in an individual month and year? Also I don't know how to format Year and Month so that they do appear as date type YYYY and MM. Please help. data have; infile cards truncover expandtabs; input MC $ Year Month MV; cards; US000401 2015 3 2470237.00 US000401 2015 3 2456056.00 US000401 2015 3 2455033.00 US000401 2015 4 2514014.00 US000401 2015 4 2513327.00 US000401 2015 4 2514014.00 US000401 2015 4 2493916.00 US000401 2015 4 2492461.00 US000401 2015 4 2491547.00 US000401 2015 5 2543793.00 US000401 2015 5 2543359.00 US000401 2015 5 2518758.00 US000401 2015 5 2516837.00 US000401 2015 5 2515140.00 US000401 2015 6 2564013.00 US000401 2015 6 2563221.00 US000401 2015 6 2546570.00 US000401 2015 6 2545730.00 US000401 2015 6 2544672.00 US000401 2015 7 2585750.00 US000401 2015 7 2583685.00 US000401 2015 7 2566615.00 US000401 2015 7 2565634.00 US000401 2015 7 2564660.00 US000401 2015 8 2613465.00 US000401 2015 8 2611991.00 US000401 2015 8 2588284.00 US000401 2015 8 2587931.00 US000401 2015 8 2586864.00 US000401 2015 9 2637445.00 US000401 2015 9 2636071.00 US000401 2015 9 2615970.00 US000401 2015 9 2615112.00 US000401 2015 9 2614320.00 US000401 2015 10 2669780.00 US000401 2015 10 2668465.00 US000401 2015 10 2667387.00 US000401 2015 10 2639241.00 US000401 2015 10 2638899.00 US000401 2015 10 2638631.00 US000401 2015 11 2703315.00 US000401 2015 11 2702390.00 US000401 2015 11 2674313.00 US000401 2015 11 2673004.00 US000401 2015 11 2671232.00 US000401 2015 12 2722479.00 US000401 2015 12 2721936.00 US000401 2015 12 2705452.00 US000401 2015 12 2703832.00 ; run; Thanks.

imanojkumar1 · ‎12-08-2016

Thanks for your help KSharp. I am just wondering why needle chart used and not line plot. Also, can we plot a vertical line (on X axis, at Y=MaxVal) in the middle of the plot.

imanojkumar1 · ‎12-08-2016

For the following data, what I am trying to learn are: 1. plot and find area under the curve (which is calculated using either 1. Simpson's rule (https://en.wikipedia.org/wiki/Simpson%27s_rule) or, 2. Trapezoidal rule (https://en.wikipedia.org/wiki/Trapezoidal_rule) - Not sure if there are SAS's inbuilt functions for that. 2. Find the mid point on the plot, divide the plot into two 'A' and 'B' and then divide each of 'A' and 'B' in equal smaller segments (like black lines on the plot for section 'A' shown in the below pic, and calculate area for each segment (say Seg1 = xx mm2, Seg1 = xx1 mm2 and so forth) data sample; infile cards truncover expandtabs; input X Y; cards; 29 21 18 23 28 24 16 26 3 27 18 29 2 33 3 37 26 39 2 42 25 47 9 54 13 57 17 58 29 60 5 63 23 66 4 69 3 72 17 73 7 73 12 72 8 69 20 66 12 63 8 60 28 58 3 57 18 54 11 47 21 42 8 39 1 37 16 29 3 27 17 22 3 19 6 17 19 14 18 10 ; run; I was trying something like this... data Trapezoidal; set x_y end=last; retain integral; lag_x=lag(x); lag_y = lag(y); if _N_ eq 1 then integral = 0; else integral = integral + (x - lag_x) * (y + lag_y) / 2; run; Thanks.

imanojkumar1 · ‎12-07-2016

Thanks Rahul. It worked.

imanojkumar1 · ‎12-06-2016

I have the data that is shown at the bottom. What I want to do is to create a program which automatically selects a group and returns the results. For example, if group=1, subgroup=1 and subASN=1 then result will be: PWC ASN group subgroup subASN 7101 1 1 1 1 7101 24 1 1 1 7101 25 1 1 1 7101 48 1 1 1 The above can be done using PROC SQL: PROC SQL; CREATE TABLE SAMPLE1 SELECT t1.* FROM WORK.SAMPLE t1 WHERE t1.group = 1 AND t1.subgroup = 1 AND t1.subASN = 1; QUIT; But I want to create a MACRO which will (1) either allow user to select any values for group, subgroup and subASN , or (2) automatically select 1 through 4 for sbASN, 1 through 6 for subgroup and 1 through 18 for group and return the results for each. for example.. group = 1 AND subgroup = 1 AND subASN = 1 group = 1 AND subgroup = 1 AND subASN = 2 group = 1 AND subgroup = 1 AND subASN = 3 group = 1 AND subgroup = 1 AND subASN = 4 group = 1 AND subgroup = 2 AND subASN = 1 group = 1 AND subgroup = 2 AND subASN = 2 group = 1 AND subgroup = 2 AND subASN = 3 group = 1 AND subgroup = 2 AND subASN = 4 and so forth... data sample; infile cards truncover expandtabs; input PWC $ ASN group subgroup subASN; cards; 7101 1 1 1 1 7101 2 1 1 2 7101 3 1 1 3 7101 4 1 1 4 7101 21 1 1 4 7101 22 1 1 3 7101 23 1 1 2 7101 24 1 1 1 7101 25 1 1 1 7101 26 1 1 2 7101 27 1 1 3 7101 28 1 1 4 7101 45 1 1 4 7101 46 1 1 3 7101 47 1 1 2 7101 48 1 1 1 7102 1 2 1 1 7102 2 2 1 2 7102 3 2 1 3 7102 4 2 1 4 7102 21 2 1 4 7102 22 2 1 3 7102 23 2 1 2 7102 24 2 1 1 7102 25 2 1 1 7102 26 2 1 2 7102 27 2 1 3 7102 28 2 1 4 7102 45 2 1 4 7102 46 2 1 3 7102 47 2 1 2 7102 48 2 1 1 7103 1 3 1 1 7103 2 3 1 2 7103 3 3 1 3 7103 4 3 1 4 7103 21 3 1 4 7103 22 3 1 3 7103 23 3 1 2 7103 24 3 1 1 7103 25 3 1 1 7103 26 3 1 2 7103 27 3 1 3 7103 28 3 1 4 7103 45 3 1 4 7103 46 3 1 3 7103 47 3 1 2 7103 48 3 1 1 7104 1 4 1 1 7104 2 4 1 2 7104 3 4 1 3 7104 4 4 1 4 7104 21 4 1 4 7104 22 4 1 3 7104 23 4 1 2 7104 24 4 1 1 7104 25 4 1 1 7104 26 4 1 2 7104 27 4 1 3 7104 28 4 1 4 7104 45 4 1 4 7104 46 4 1 3 7104 47 4 1 2 7104 48 4 1 1 7105 1 5 1 1 7105 2 5 1 2 7105 3 5 1 3 7105 4 5 1 4 7105 21 5 1 4 7105 22 5 1 3 7105 23 5 1 2 7105 24 5 1 1 7105 25 5 1 1 7105 26 5 1 2 7105 27 5 1 3 7105 28 5 1 4 7105 45 5 1 4 7105 46 5 1 3 7105 47 5 1 2 7105 48 5 1 1 7106 1 6 1 1 7106 2 6 1 2 7106 3 6 1 3 7106 4 6 1 4 7106 21 6 1 4 7106 22 6 1 3 7106 23 6 1 2 7106 24 6 1 1 7106 25 6 1 1 7106 26 6 1 2 7106 27 6 1 3 7106 28 6 1 4 7106 45 6 1 4 7106 46 6 1 3 7106 47 6 1 2 7106 48 6 1 1 7107 1 7 1 1 7107 2 7 1 2 7107 3 7 1 3 7107 4 7 1 4 7107 21 7 1 4 7107 22 7 1 3 7107 23 7 1 2 7107 24 7 1 1 7107 25 7 1 1 7107 26 7 1 2 7107 27 7 1 3 7107 28 7 1 4 7107 45 7 1 4 7107 46 7 1 3 7107 47 7 1 2 7107 48 7 1 1 7108 1 8 1 1 7108 2 8 1 2 7108 3 8 1 3 7108 4 8 1 4 7108 21 8 1 4 7108 22 8 1 3 7108 23 8 1 2 7108 24 8 1 1 7108 25 8 1 1 7108 26 8 1 2 7108 27 8 1 3 7108 28 8 1 4 7108 45 8 1 4 7108 46 8 1 3 7108 47 8 1 2 7108 48 8 1 1 7109 1 9 1 1 7109 2 9 1 2 7109 3 9 1 3 7109 4 9 1 4 7109 21 9 1 4 7109 22 9 1 3 7109 23 9 1 2 7109 24 9 1 1 7109 25 9 1 1 7109 26 9 1 2 7109 27 9 1 3 7109 28 9 1 4 7109 45 9 1 4 7109 46 9 1 3 7109 47 9 1 2 7109 48 9 1 1 7110 1 10 1 1 7110 2 10 1 2 7110 3 10 1 3 7110 4 10 1 4 7110 21 10 1 4 7110 22 10 1 3 7110 23 10 1 2 7110 24 10 1 1 7110 25 10 1 1 7110 26 10 1 2 7110 27 10 1 3 7110 28 10 1 4 7110 45 10 1 4 7110 46 10 1 3 7110 47 10 1 2 7110 48 10 1 1 7111 1 11 1 1 7111 2 11 1 2 7111 3 11 1 3 7111 4 11 1 4 7111 21 11 1 4 7111 22 11 1 3 7111 23 11 1 2 7111 24 11 1 1 7111 25 11 1 1 7111 26 11 1 2 7111 27 11 1 3 7111 28 11 1 4 7111 45 11 1 4 7111 46 11 1 3 7111 47 11 1 2 7111 48 11 1 1 7112 1 12 1 1 7112 2 12 1 2 7112 3 12 1 3 7112 4 12 1 4 7112 21 12 1 4 7112 22 12 1 3 7112 23 12 1 2 7112 24 12 1 1 7112 25 12 1 1 7112 26 12 1 2 7112 27 12 1 3 7112 28 12 1 4 7112 45 12 1 4 7112 46 12 1 3 7112 47 12 1 2 7112 48 12 1 1 7113 1 13 1 1 7113 2 13 1 2 7113 3 13 1 3 7113 4 13 1 4 7113 21 13 1 4 7113 22 13 1 3 7113 23 13 1 2 7113 24 13 1 1 7113 25 13 1 1 7113 26 13 1 2 7113 27 13 1 3 7113 28 13 1 4 7113 45 13 1 4 7113 46 13 1 3 7113 47 13 1 2 7113 48 13 1 1 7114 1 14 1 1 7114 2 14 1 2 7114 3 14 1 3 7114 4 14 1 4 7114 21 14 1 4 7114 22 14 1 3 7114 23 14 1 2 7114 24 14 1 1 7114 25 14 1 1 7114 26 14 1 2 7114 27 14 1 3 7114 28 14 1 4 7114 45 14 1 4 7114 46 14 1 3 7114 47 14 1 2 7114 48 14 1 1 7115 1 15 1 1 7115 2 15 1 2 7115 3 15 1 3 7115 4 15 1 4 7115 21 15 1 4 7115 22 15 1 3 7115 23 15 1 2 7115 24 15 1 1 7115 25 15 1 1 7115 26 15 1 2 7115 27 15 1 3 7115 28 15 1 4 7115 45 15 1 4 7115 46 15 1 3 7115 47 15 1 2 7115 48 15 1 1 7116 1 16 1 1 7116 2 16 1 2 7116 3 16 1 3 7116 4 16 1 4 7116 21 16 1 4 7116 22 16 1 3 7116 23 16 1 2 7116 24 16 1 1 7116 25 16 1 1 7116 26 16 1 2 7116 27 16 1 3 7116 28 16 1 4 7116 45 16 1 4 7116 46 16 1 3 7116 47 16 1 2 7116 48 16 1 1 7117 1 17 1 1 7117 2 17 1 2 7117 3 17 1 3 7117 4 17 1 4 7117 21 17 1 4 7117 22 17 1 3 7117 23 17 1 2 7117 24 17 1 1 7117 25 17 1 1 7117 26 17 1 2 7117 27 17 1 3 7117 28 17 1 4 7117 45 17 1 4 7117 46 17 1 3 7117 47 17 1 2 7117 48 17 1 1 7118 1 18 1 1 7118 2 18 1 2 7118 3 18 1 3 7118 4 18 1 4 7118 21 18 1 4 7118 22 18 1 3 7118 23 18 1 2 7118 24 18 1 1 7118 25 18 1 1 7118 26 18 1 2 7118 27 18 1 3 7118 28 18 1 4 7118 45 18 1 4 7118 46 18 1 3 7118 47 18 1 2 7118 48 18 1 1 7201 5 1 2 1 7201 6 1 2 2 7201 7 1 2 3 7201 8 1 2 4 7201 17 1 2 4 7201 18 1 2 3 7201 19 1 2 2 7201 20 1 2 1 7201 29 1 2 1 7201 30 1 2 2 7201 31 1 2 3 7201 32 1 2 4 7201 41 1 2 4 7201 42 1 2 3 7201 43 1 2 2 7201 44 1 2 1 7202 5 2 2 1 7202 6 2 2 2 7202 7 2 2 3 7202 8 2 2 4 7202 17 2 2 4 7202 18 2 2 3 7202 19 2 2 2 7202 20 2 2 1 7202 29 2 2 1 7202 30 2 2 2 7202 31 2 2 3 7202 32 2 2 4 7202 41 2 2 4 7202 42 2 2 3 7202 43 2 2 2 7202 44 2 2 1 7203 5 3 2 1 7203 6 3 2 2 7203 7 3 2 3 7203 8 3 2 4 7203 17 3 2 4 7203 18 3 2 3 7203 19 3 2 2 7203 20 3 2 1 7203 29 3 2 1 7203 30 3 2 2 7203 31 3 2 3 7203 32 3 2 4 7203 41 3 2 4 7203 42 3 2 3 7203 43 3 2 2 7203 44 3 2 1 7204 5 4 2 1 7204 6 4 2 2 7204 7 4 2 3 7204 8 4 2 4 7204 17 4 2 4 7204 18 4 2 3 7204 19 4 2 2 7204 20 4 2 1 7204 29 4 2 1 7204 30 4 2 2 7204 31 4 2 3 7204 32 4 2 4 7204 41 4 2 4 7204 42 4 2 3 7204 43 4 2 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7213 41 13 2 4 7213 42 13 2 3 7213 43 13 2 2 7213 44 13 2 1 7214 5 14 2 1 7214 6 14 2 2 7214 7 14 2 3 7214 8 14 2 4 7214 17 14 2 4 7214 18 14 2 3 7214 19 14 2 2 7214 20 14 2 1 7214 29 14 2 1 7214 30 14 2 2 7214 31 14 2 3 7214 32 14 2 4 7214 41 14 2 4 7214 42 14 2 3 7214 43 14 2 2 7214 44 14 2 1 7215 5 15 2 1 7215 6 15 2 2 7215 7 15 2 3 7215 8 15 2 4 7215 17 15 2 4 7215 18 15 2 3 7215 19 15 2 2 7215 20 15 2 1 7215 29 15 2 1 7215 30 15 2 2 7215 31 15 2 3 7215 32 15 2 4 7215 41 15 2 4 7215 42 15 2 3 7215 43 15 2 2 7215 44 15 2 1 7216 5 16 2 1 7216 6 16 2 2 7216 7 16 2 3 7216 8 16 2 4 7216 17 16 2 4 7216 18 16 2 3 7216 19 16 2 2 7216 20 16 2 1 7216 29 16 2 1 7216 30 16 2 2 7216 31 16 2 3 7216 32 16 2 4 7216 41 16 2 4 7216 42 16 2 3 7216 43 16 2 2 7216 44 16 2 1 7217 5 17 2 1 7217 6 17 2 2 7217 7 17 2 3 7217 8 17 2 4 7217 17 17 2 4 7217 18 17 2 3 7217 19 17 2 2 7217 20 17 2 1 7217 29 17 2 1 7217 30 17 2 2 7217 31 17 2 3 7217 32 17 2 4 7217 41 17 2 4 7217 42 17 2 3 7217 43 17 2 2 7217 44 17 2 1 7218 5 18 2 1 7218 6 18 2 2 7218 7 18 2 3 7218 8 18 2 4 7218 17 18 2 4 7218 18 18 2 3 7218 19 18 2 2 7218 20 18 2 1 7218 29 18 2 1 7218 30 18 2 2 7218 31 18 2 3 7218 32 18 2 4 7218 41 18 2 4 7218 42 18 2 3 7218 43 18 2 2 7218 44 18 2 1 7301 9 1 3 1 7301 10 1 3 2 7301 11 1 3 3 7301 12 1 3 4 7301 13 1 3 4 7301 14 1 3 3 7301 15 1 3 2 7301 16 1 3 1 7301 33 1 3 1 7301 34 1 3 2 7301 35 1 3 3 7301 36 1 3 4 7301 37 1 3 4 7301 38 1 3 3 7301 39 1 3 2 7301 40 1 3 1 7302 9 2 3 1 7302 10 2 3 2 7302 11 2 3 3 7302 12 2 3 4 7302 13 2 3 4 7302 14 2 3 3 7302 15 2 3 2 7302 16 2 3 1 7302 33 2 3 1 7302 34 2 3 2 7302 35 2 3 3 7302 36 2 3 4 7302 37 2 3 4 7302 38 2 3 3 7302 39 2 3 2 7302 40 2 3 1 7303 9 3 3 1 7303 10 3 3 2 7303 11 3 3 3 7303 12 3 3 4 7303 13 3 3 4 7303 14 3 3 3 7303 15 3 3 2 7303 16 3 3 1 7303 33 3 3 1 7303 34 3 3 2 7303 35 3 3 3 7303 36 3 3 4 7303 37 3 3 4 7303 38 3 3 3 7303 39 3 3 2 7303 40 3 3 1 7304 9 4 3 1 7304 10 4 3 2 7304 11 4 3 3 7304 12 4 3 4 7304 13 4 3 4 7304 14 4 3 3 7304 15 4 3 2 7304 16 4 3 1 7304 33 4 3 1 7304 34 4 3 2 7304 35 4 3 3 7304 36 4 3 4 7304 37 4 3 4 7304 38 4 3 3 7304 39 4 3 2 7304 40 4 3 1 7305 9 5 3 1 7305 10 5 3 2 7305 11 5 3 3 7305 12 5 3 4 7305 13 5 3 4 7305 14 5 3 3 7305 15 5 3 2 7305 16 5 3 1 7305 33 5 3 1 7305 34 5 3 2 7305 35 5 3 3 7305 36 5 3 4 7305 37 5 3 4 7305 38 5 3 3 7305 39 5 3 2 7305 40 5 3 1 7306 9 6 3 1 7306 10 6 3 2 7306 11 6 3 3 7306 12 6 3 4 7306 13 6 3 4 7306 14 6 3 3 7306 15 6 3 2 7306 16 6 3 1 7306 33 6 3 1 7306 34 6 3 2 7306 35 6 3 3 7306 36 6 3 4 7306 37 6 3 4 7306 38 6 3 3 7306 39 6 3 2 7306 40 6 3 1 7307 9 7 3 1 7307 10 7 3 2 7307 11 7 3 3 7307 12 7 3 4 7307 13 7 3 4 7307 14 7 3 3 7307 15 7 3 2 7307 16 7 3 1 7307 33 7 3 1 7307 34 7 3 2 7307 35 7 3 3 7307 36 7 3 4 7307 37 7 3 4 7307 38 7 3 3 7307 39 7 3 2 7307 40 7 3 1 7308 9 8 3 1 7308 10 8 3 2 7308 11 8 3 3 7308 12 8 3 4 7308 13 8 3 4 7308 14 8 3 3 7308 15 8 3 2 7308 16 8 3 1 7308 33 8 3 1 7308 34 8 3 2 7308 35 8 3 3 7308 36 8 3 4 7308 37 8 3 4 7308 38 8 3 3 7308 39 8 3 2 7308 40 8 3 1 7309 9 9 3 1 7309 10 9 3 2 7309 11 9 3 3 7309 12 9 3 4 7309 13 9 3 4 7309 14 9 3 3 7309 15 9 3 2 7309 16 9 3 1 7309 33 9 3 1 7309 34 9 3 2 7309 35 9 3 3 7309 36 9 3 4 7309 37 9 3 4 7309 38 9 3 3 7309 39 9 3 2 7309 40 9 3 1 7310 9 10 3 1 7310 10 10 3 2 7310 11 10 3 3 7310 12 10 3 4 7310 13 10 3 4 7310 14 10 3 3 7310 15 10 3 2 7310 16 10 3 1 7310 33 10 3 1 7310 34 10 3 2 7310 35 10 3 3 7310 36 10 3 4 7310 37 10 3 4 7310 38 10 3 3 7310 39 10 3 2 7310 40 10 3 1 7311 9 11 3 1 7311 10 11 3 2 7311 11 11 3 3 7311 12 11 3 4 7311 13 11 3 4 7311 14 11 3 3 7311 15 11 3 2 7311 16 11 3 1 7311 33 11 3 1 7311 34 11 3 2 7311 35 11 3 3 7311 36 11 3 4 7311 37 11 3 4 7311 38 11 3 3 7311 39 11 3 2 7311 40 11 3 1 7312 9 12 3 1 7312 10 12 3 2 7312 11 12 3 3 7312 12 12 3 4 7312 13 12 3 4 7312 14 12 3 3 7312 15 12 3 2 7312 16 12 3 1 7312 33 12 3 1 7312 34 12 3 2 7312 35 12 3 3 7312 36 12 3 4 7312 37 12 3 4 7312 38 12 3 3 7312 39 12 3 2 7312 40 12 3 1 7313 9 13 3 1 7313 10 13 3 2 7313 11 13 3 3 7313 12 13 3 4 7313 13 13 3 4 7313 14 13 3 3 7313 15 13 3 2 7313 16 13 3 1 7313 33 13 3 1 7313 34 13 3 2 7313 35 13 3 3 7313 36 13 3 4 7313 37 13 3 4 7313 38 13 3 3 7313 39 13 3 2 7313 40 13 3 1 7314 9 14 3 1 7314 10 14 3 2 7314 11 14 3 3 7314 12 14 3 4 7314 13 14 3 4 7314 14 14 3 3 7314 15 14 3 2 7314 16 14 3 1 7314 33 14 3 1 7314 34 14 3 2 7314 35 14 3 3 7314 36 14 3 4 7314 37 14 3 4 7314 38 14 3 3 7314 39 14 3 2 7314 40 14 3 1 7315 9 15 3 1 7315 10 15 3 2 7315 11 15 3 3 7315 12 15 3 4 7315 13 15 3 4 7315 14 15 3 3 7315 15 15 3 2 7315 16 15 3 1 7315 33 15 3 1 7315 34 15 3 2 7315 35 15 3 3 7315 36 15 3 4 7315 37 15 3 4 7315 38 15 3 3 7315 39 15 3 2 7315 40 15 3 1 7316 9 16 3 1 7316 10 16 3 2 7316 11 16 3 3 7316 12 16 3 4 7316 13 16 3 4 7316 14 16 3 3 7316 15 16 3 2 7316 16 16 3 1 7316 33 16 3 1 7316 34 16 3 2 7316 35 16 3 3 7316 36 16 3 4 7316 37 16 3 4 7316 38 16 3 3 7316 39 16 3 2 7316 40 16 3 1 7317 9 17 3 1 7317 10 17 3 2 7317 11 17 3 3 7317 12 17 3 4 7317 13 17 3 4 7317 14 17 3 3 7317 15 17 3 2 7317 16 17 3 1 7317 33 17 3 1 7317 34 17 3 2 7317 35 17 3 3 7317 36 17 3 4 7317 37 17 3 4 7317 38 17 3 3 7317 39 17 3 2 7317 40 17 3 1 7318 9 18 3 1 7318 10 18 3 2 7318 11 18 3 3 7318 12 18 3 4 7318 13 18 3 4 7318 14 18 3 3 7318 15 18 3 2 7318 16 18 3 1 7318 33 18 3 1 7318 34 18 3 2 7318 35 18 3 3 7318 36 18 3 4 7318 37 18 3 4 7318 38 18 3 3 7318 39 18 3 2 7318 40 18 3 1 7401 9 1 4 1 7401 10 1 4 2 7401 11 1 4 3 7401 12 1 4 4 7401 13 1 4 4 7401 14 1 4 3 7401 15 1 4 2 7401 16 1 4 1 7401 33 1 4 1 7401 34 1 4 2 7401 35 1 4 3 7401 36 1 4 4 7401 37 1 4 4 7401 38 1 4 3 7401 39 1 4 2 7401 40 1 4 1 7402 9 2 4 1 7402 10 2 4 2 7402 11 2 4 3 7402 12 2 4 4 7402 13 2 4 4 7402 14 2 4 3 7402 15 2 4 2 7402 16 2 4 1 7402 33 2 4 1 7402 34 2 4 2 7402 35 2 4 3 7402 36 2 4 4 7402 37 2 4 4 7402 38 2 4 3 7402 39 2 4 2 7402 40 2 4 1 7403 9 3 4 1 7403 10 3 4 2 7403 11 3 4 3 7403 12 3 4 4 7403 13 3 4 4 7403 14 3 4 3 7403 15 3 4 2 7403 16 3 4 1 7403 33 3 4 1 7403 34 3 4 2 7403 35 3 4 3 7403 36 3 4 4 7403 37 3 4 4 7403 38 3 4 3 7403 39 3 4 2 7403 40 3 4 1 7404 9 4 4 1 7404 10 4 4 2 7404 11 4 4 3 7404 12 4 4 4 7404 13 4 4 4 7404 14 4 4 3 7404 15 4 4 2 7404 16 4 4 1 7404 33 4 4 1 7404 34 4 4 2 7404 35 4 4 3 7404 36 4 4 4 7404 37 4 4 4 7404 38 4 4 3 7404 39 4 4 2 7404 40 4 4 1 7405 9 5 4 1 7405 10 5 4 2 7405 11 5 4 3 7405 12 5 4 4 7405 13 5 4 4 7405 14 5 4 3 7405 15 5 4 2 7405 16 5 4 1 7405 33 5 4 1 7405 34 5 4 2 7405 35 5 4 3 7405 36 5 4 4 7405 37 5 4 4 7405 38 5 4 3 7405 39 5 4 2 7405 40 5 4 1 7406 9 6 4 1 7406 10 6 4 2 7406 11 6 4 3 7406 12 6 4 4 7406 13 6 4 4 7406 14 6 4 3 7406 15 6 4 2 7406 16 6 4 1 7406 33 6 4 1 7406 34 6 4 2 7406 35 6 4 3 7406 36 6 4 4 7406 37 6 4 4 7406 38 6 4 3 7406 39 6 4 2 7406 40 6 4 1 7407 9 7 4 1 7407 10 7 4 2 7407 11 7 4 3 7407 12 7 4 4 7407 13 7 4 4 7407 14 7 4 3 7407 15 7 4 2 7407 16 7 4 1 7407 33 7 4 1 7407 34 7 4 2 7407 35 7 4 3 7407 36 7 4 4 7407 37 7 4 4 7407 38 7 4 3 7407 39 7 4 2 7407 40 7 4 1 7408 9 8 4 1 7408 10 8 4 2 7408 11 8 4 3 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11 6 1 7611 26 11 6 2 7611 27 11 6 3 7611 28 11 6 4 7611 45 11 6 4 7611 46 11 6 3 7611 47 11 6 2 7611 48 11 6 1 7612 1 12 6 1 7612 2 12 6 2 7612 3 12 6 3 7612 4 12 6 4 7612 21 12 6 4 7612 22 12 6 3 7612 23 12 6 2 7612 24 12 6 1 7612 25 12 6 1 7612 26 12 6 2 7612 27 12 6 3 7612 28 12 6 4 7612 45 12 6 4 7612 46 12 6 3 7612 47 12 6 2 7612 48 12 6 1 7613 1 13 6 1 7613 2 13 6 2 7613 3 13 6 3 7613 4 13 6 4 7613 21 13 6 4 7613 22 13 6 3 7613 23 13 6 2 7613 24 13 6 1 7613 25 13 6 1 7613 26 13 6 2 7613 27 13 6 3 7613 28 13 6 4 7613 45 13 6 4 7613 46 13 6 3 7613 47 13 6 2 7613 48 13 6 1 7614 1 14 6 1 7614 2 14 6 2 7614 3 14 6 3 7614 4 14 6 4 7614 21 14 6 4 7614 22 14 6 3 7614 23 14 6 2 7614 24 14 6 1 7614 25 14 6 1 7614 26 14 6 2 7614 27 14 6 3 7614 28 14 6 4 7614 45 14 6 4 7614 46 14 6 3 7614 47 14 6 2 7614 48 14 6 1 7615 1 15 6 1 7615 2 15 6 2 7615 3 15 6 3 7615 4 15 6 4 7615 21 15 6 4 7615 22 15 6 3 7615 23 15 6 2 7615 24 15 6 1 7615 25 15 6 1 7615 26 15 6 2 7615 27 15 6 3 7615 28 15 6 4 7615 45 15 6 4 7615 46 15 6 3 7615 47 15 6 2 7615 48 15 6 1 7616 1 16 6 1 7616 2 16 6 2 7616 3 16 6 3 7616 4 16 6 4 7616 21 16 6 4 7616 22 16 6 3 7616 23 16 6 2 7616 24 16 6 1 7616 25 16 6 1 7616 26 16 6 2 7616 27 16 6 3 7616 28 16 6 4 7616 45 16 6 4 7616 46 16 6 3 7616 47 16 6 2 7616 48 16 6 1 7617 1 17 6 1 7617 2 17 6 2 7617 3 17 6 3 7617 4 17 6 4 7617 21 17 6 4 7617 22 17 6 3 7617 23 17 6 2 7617 24 17 6 1 7617 25 17 6 1 7617 26 17 6 2 7617 27 17 6 3 7617 28 17 6 4 7617 45 17 6 4 7617 46 17 6 3 7617 47 17 6 2 7617 48 17 6 1 7618 1 18 6 1 7618 2 18 6 2 7618 3 18 6 3 7618 4 18 6 4 7618 21 18 6 4 7618 22 18 6 3 7618 23 18 6 2 7618 24 18 6 1 7618 25 18 6 1 7618 26 18 6 2 7618 27 18 6 3 7618 28 18 6 4 7618 45 18 6 4 7618 46 18 6 3 7618 47 18 6 2 7618 48 18 6 1 ; run; How it can be done?

imanojkumar1 · ‎11-30-2016

Thanks Kurt, Only check in the above is, we need to use: diadiff = lag(dia) - dia; Otherwise the results will be negative numbers, if we use below: diadiff = dia - lag(dia);

imanojkumar1 · ‎11-30-2016

Hi all, First of all I must thankful to everyone there who kept helping me to learn SAS fast. Almost a month ago, I was zero with SAS but now, at least I am feeling confident and have grown my love towards it. 🙂 Now, to my problem... Suppose I have the following dataset: data have; infile cards truncover expandtabs; input MC $ ET $ Date :Date9. Time :time8. Dia KMs; format Date date9. Time time8.; cards; US0001 Lath 12JAN15 7:00 890.8 2900334.00000 US000328 Lath 13JUL15 0:00 890.2 2232830.00000 US000328 Lath 02JAN16 0:00 885.9 2310299.00000 US000328 Lath 13JUN16 0:00 881.4 2450616.00000 US000329 Lath 12JAN15 0:00 885.7 2235626.00000 US000329 Lath 30MAY15 0:00 880.6 2373070.00000 US000329 Lath 14JAN16 0:00 872.6 2558987.00000 US000329 Lath 05AUG16 0:00 863.1 2740207.00000 US000331 Lath 13JUN15 0:00 860.7 2689105.00000 US000331 Lath 12JUN16 0:00 860.7 2730534.00000 US000334 Lath 02JUL15 0:00 859.6 3034370.00000 US000334 Lath 24JAN16 0:00 853.2 3230211.00000 US000334 Lath 27AUG16 0:00 845.9 3411050.00000 US000335 Lath 17MAR15 0:00 847.3 2183273.00000 US000335 Lath 15JAN16 0:00 847.3 2258321.00000 US000335 Lath 05AUG16 0:00 841.9 2438931.00000 US000336 Lath 16MAR15 0:00 853.6 2365989.00000 US000336 Lath 02MAY15 0:00 850.6 2405547.00000 US000336 Lath 28JAN16 0:00 846.3 2522017.00000 US000336 Lath 14MAR16 0:00 839.2 2554822.00000 ; run; What I want to do, is that for each MC above: 1. Calculate Dia difference in such a way that if there is only one row, keep the dia otherwise DiaDiff = Dia in current row - Dia in previous row (please Note: for practice, I used Case When Else option here, but you still can be better than me, I am sure) 2. If DiaDiff = Dia in that row, Dia_Flag = 0, otherwise =1 3. Difference between the Days in two rows. If first row, DaysDiff = 0, otherwise DaysDiff = Date in current row - Date in previous row 4. Similary for KMs Difference. If first row, KM_Diff = 0, otherwise KM_Diff = KMs in current row - KMs in previous row And result would look like something below: MC ET Date Time Dia KMs DiaDiff Dia_Flag DaysDiff KM_Diff US0001 Lath 12Jan2015 7:00:00 890,8 2900334 890,8 0 0 0 US000328 Lath 13Jul2015 0:00:00 890,2 2232830 890,2 0 0 0 US000328 Lath 02Jan2016 0:00:00 885,9 2310299 4,3 1 173 77469 US000328 Lath 13Jun2016 0:00:00 881,4 2450616 4,5 1 163 140317 US000329 Lath 12Jan2015 0:00:00 885,7 2235626 885,7 0 0 0 US000329 Lath 30May2015 0:00:00 880,6 2373070 5,1 1 138 137444 US000329 Lath 14Jan2016 0:00:00 872,6 2558987 8 1 229 185917 US000329 Lath 05Aug2016 0:00:00 863,1 2740207 9,5 1 204 181220 US000331 Lath 13Jun2015 0:00:00 860,7 2689105 860,7 0 0 0 US000331 Lath 12Jun2016 0:00:00 860,7 2730534 0 0 365 41429 US000334 Lath 02Jul2015 0:00:00 859,6 3034370 1,1 1 0 0 US000334 Lath 24Jan2016 0:00:00 853,2 3230211 6,4 1 206 195841 US000334 Lath 27Aug2016 0:00:00 845,9 3411050 7,3 1 216 180839 US000335 Lath 17Mar2015 0:00:00 847,3 2183273 847,3 0 0 0 US000335 Lath 15Jan2016 0:00:00 847,3 2258321 0 0 304 75048 US000335 Lath 05Aug2016 0:00:00 841,9 2438931 5,4 1 203 180610 US000336 Lath 16Mar2015 0:00:00 853,6 2365989 853,6 0 0 0 US000336 Lath 02May2015 0:00:00 850,6 2405547 3 1 47 39558 US000336 Lath 28Jan2016 0:00:00 846,3 2522017 4,3 1 271 116470 US000336 Lath 14Mar2016 0:00:00 839,2 2554822 7,1 1 46 32805 Currently I am learning loops and hence this case. Thanks.

imanojkumar1 · ‎11-29-2016

Hello, Thanks very much for the explanation and suggestions. There were couple of typo mistakes which i corrected them and run the code: proc sql; create table temp2 as select a.et, a.date, min(b.seq) as seq, case when b.date = a.date then 0 else case when b.date > a.date then 1 as flag from have1(where=(et='Lath')) as a left join temp1 as b on b.date ge a.date order by seq ; quit; I got the following errors: 267 case when b.date > a.date then 1 as flag __ 22 76 ERROR 22-322: Syntax error, expecting one of the following: !, !!, &, *, **, +, -, /, <, <=, <>, =, >, >=, ?, AND, BETWEEN, CONTAINS, ELSE, END, EQ, EQT, GE, GET, GT, GTT, IN, IS, LE, LET, LIKE, LT, LTT, NE, NET, NOT, NOTIN, OR, WHEN, ^, ^=, |, ||, ~, ~=. ERROR 76-322: Syntax error, statement will be ignored. 268 from have1(where=(et='Lath')) as a 269 left join temp1 as b

imanojkumar1 · ‎11-29-2016

I have the following dates data: data mydates; infile cards truncover expandtabs; input Date :date9. time :time8.; dt = date * 86400 + time; format Date date9. time time8. dt datetime19.; cards; 02Jan2016 18:50:46 04Jan2016 0:08:47 04Jan2016 5:40:23 05Jan2016 11:58:24 12Jan2016 10:06:35 24Jan2016 17:49:23 26Jan2016 9:58:08 29Jan2016 9:58:02 30Jan2016 11:48:34 02Feb2016 13:10:07 04Feb2016 9:12:03 04Feb2016 20:29:06 05Feb2016 11:18:21 06Feb2016 10:24:24 07Feb2016 1:09:35 08Feb2016 10:45:27 09Feb2016 13:10:47 10Feb2016 13:07:53 11Feb2016 13:15:14 12Feb2016 9:35:45 13Feb2016 1:11:07 15Feb2016 9:53:32 16Feb2016 9:51:57 29Jun2016 13:15:14 29Jun2016 9:35:45 06Jul2016 1:11:07 06Jul2016 9:53:32 22Sep2016 9:51:57 ; run; When I am trying to create a subset I used this... but I think this is not correct... PROC SQL; SELECT t1.* FROM mydates t1 WHERE t1.Date IN ( min(t1.Date), '29Jun2016'd, '6Jul2016'd, max(t1.Date) ); QUIT; Please help me to write correct code. Thanks.

imanojkumar1 · ‎11-28-2016

There are two tables Have1 and Have2: data have1; infile cards truncover expandtabs; input ET $ Date :Date9.; format Date :date9.; cards; Lath 12Jan2015 Instal 15Feb2015 CRE 21May2015 . 24Jun2015 Lath 13Jul2015 CRE 01Oct2015 Lath 02Jan2016 Lath 13Jun2016 Lath 12Jan2015 Lath 30May2015 Lath 14Jan2016 Lath 05Aug2016 Lath 13Jun2015 Rem 17Jun2015 Instal 19Apr2016 Lath 12Jun2016 Lath 02Jul2015 Lath 24Jan2016 Lath 27Aug2016 Rem 19Feb2015 Lath 17Mar2015 Instal 07Oct2015 Lath 15Jan2016 Lath 05Aug2016 Rem 19Feb2015 Lath 16Mar2015 Instal 22Mar2015 Lath 02May2015 Rem 29Sep2015 Lath 28Jan2016 Instal 07Feb2016 Lath 14Mar2016 Lath 11Jun2016 CRE 20Feb2015 Lath 07Sep2015 Lath 07Sep2015 Lath 16Mar2016 Rem 23Jul2016 . 10Apr2015 Lath 14Apr2015 CRE 01Oct2015 Lath 01Jan2016 Lath 13Jun2016 Lath 06Aug2015 Lath 05Feb2016 Lath 09Feb2015 CRE 21May2015 . 23Sep2015 Lath 05Oct2015 CRE 21Mar2016 Lath 18Jun2016 Lath 07Nov2016 . 07Apr2015 Lath 13Apr2015 CRE 21May2015 CRE 21May2015 Lath 13Dec2015 Lath 10Mar2016 Lath 08Sep2016 ; run; data have2; infile cards truncover expandtabs; input Date :datetime19.2; format Date :datetime19.2; cards; 02Jan2016 18:50:46 04Jan2016 0:08:47 04Jan2016 5:40:23 05Jan2016 11:58:24 12Jan2016 10:06:35 24Jan2016 17:49:23 26Jan2016 9:58:08 29Jan2016 9:58:02 30Jan2016 11:48:34 02Feb2016 13:10:07 04Feb2016 9:12:03 04Feb2016 20:29:06 05Feb2016 11:18:21 06Feb2016 10:24:24 07Feb2016 1:09:35 08Feb2016 10:45:27 09Feb2016 13:10:47 10Feb2016 13:07:53 11Feb2016 13:15:14 12Feb2016 9:35:45 13Feb2016 1:11:07 15Feb2016 9:53:32 16Feb2016 9:51:57 14Mar2016 14:41:45 04Apr2016 1:09:09 07Apr2016 15:59:36 08Apr2016 10:49:23 09Apr2016 17:49:55 12Apr2016 15:55:17 15Apr2016 0:10:38 18Apr2016 11:53:01 19Apr2016 9:59:04 20Apr2016 9:50:01 26Apr2016 9:57:59 27Apr2016 10:45:19 30Apr2016 10:52:36 02May2016 10:01:18 03May2016 1:28:27 03May2016 10:49:17 04May2016 9:48:31 04May2016 14:47:58 05May2016 10:22:44 08May2016 11:53:59 08May2016 14:47:47 09May2016 1:06:01 09May2016 5:07:56 09May2016 10:46:49 11May2016 10:02:00 12May2016 1:30:07 12May2016 10:46:29 13May2016 16:13:38 15May2016 21:00:06 17May2016 0:09:47 18May2016 11:50:22 19May2016 9:57:19 20May2016 9:57:00 21May2016 17:49:05 22May2016 21:00:46 24May2016 0:12:04 26May2016 10:55:09 27May2016 10:02:30 28May2016 9:50:28 29May2016 15:44:50 29May2016 15:49:50 30May2016 9:02:56 31May2016 1:52:30 31May2016 10:45:11 02Jun2016 16:04:57 06Jun2016 0:08:38 07Jun2016 11:46:54 08Jun2016 10:04:26 09Jun2016 10:17:40 10Jun2016 9:57:10 12Jun2016 1:17:59 13Jun2016 9:59:42 15Jun2016 10:51:52 16Jun2016 15:15:07 17Jun2016 10:48:33 19Jun2016 1:12:13 20Jun2016 0:11:14 21Jun2016 13:00:25 23Jun2016 8:57:54 25Jun2016 12:07:01 26Jun2016 11:10:54 28Jun2016 10:01:16 29Jun2016 12:58:16 06Jul2016 11:05:23 07Jul2016 14:02:25 09Jul2016 19:53:57 11Jul2016 20:13:37 14Jul2016 11:14:45 15Jul2016 10:50:34 16Jul2016 16:10:53 19Jul2016 8:59:00 19Jul2016 19:10:27 20Jul2016 15:47:18 21Jul2016 15:45:18 22Jul2016 16:00:21 23Jul2016 15:42:42 24Jul2016 11:02:24 25Jul2016 1:09:19 27Jul2016 9:24:55 28Jul2016 9:00:54 28Jul2016 16:13:52 29Jul2016 14:09:31 02Aug2016 9:03:36 04Aug2016 13:55:52 07Aug2016 14:31:22 08Aug2016 11:11:00 09Aug2016 13:54:56 10Aug2016 8:57:20 13Aug2016 9:55:11 14Aug2016 11:09:51 23Aug2016 13:21:45 25Aug2016 12:56:55 26Aug2016 15:52:00 27Aug2016 18:50:02 29Aug2016 13:02:10 30Aug2016 8:11:25 31Aug2016 11:13:00 01Sep2016 13:55:02 02Sep2016 8:59:53 02Sep2016 18:55:42 04Sep2016 10:55:57 04Sep2016 18:38:39 05Sep2016 9:02:25 05Sep2016 19:17:13 08Sep2016 10:12:09 12Sep2016 10:16:22 12Sep2016 13:19:08 12Sep2016 13:25:59 13Sep2016 9:18:51 14Sep2016 9:02:19 16Sep2016 9:02:00 18Sep2016 21:48:05 22Sep2016 9:58:14 24Sep2016 13:53:58 25Sep2016 11:15:54 28Sep2016 9:03:51 28Sep2016 18:48:21 01Oct2016 13:02:22 02Oct2016 16:09:30 06Oct2016 8:58:00 07Oct2016 18:46:15 13Oct2016 16:03:55 19Oct2016 18:45:58 20Oct2016 18:56:03 21Oct2016 9:02:21 21Oct2016 18:45:19 24Oct2016 14:02:24 24Oct2016 18:50:13 26Oct2016 13:06:29 27Oct2016 13:55:43 28Oct2016 9:03:18 29Oct2016 13:00:58 03Nov2016 13:03:28 08Nov2016 13:55:16 11Nov2016 22:09:58 13Nov2016 21:56:39 14Nov2016 17:26:59 14Nov2016 17:33:54 17Nov2016 9:00:47 17Nov2016 18:45:14 ; run; Let's assume that there are V1 and V2 columns (with NULL values, just for this case) in table Have2 so that we have 'DateTimeStamp', 'V1' and 'V1' columns. What I want to do is to: 1. Create a subset from table Have2 in such a way that... a. Immediate previous and next dates (i.e only one date before and one date after) where Date in Have1 is equal to Date in Have2, and Have1.ET = "Lath" 2. even If there is NO Have1.Date=Have2.Date, still for each Have1.Date, find immediate previous and next dates (one date before and one date after) from Have2, where Have1.ET = "Lath". Please note the above dataset are just samples from larger ones.

imanojkumar1 · ‎11-28-2016

Hi KSharp, Thanks for your suggestion. I already tried it. Unfortunately, this way the outcome is in 4 panels. But what I want that all the 4 plots in one panel, as in my question above, but where Date=6Jul16, the plot should be shifted up on Y-axis by 6000 in each row. So where: Date=6Jul16 and MeaNo=1, the new_Y= -40075+6000 = -34075 Date=6Jul16 and MeaNo=2, the new_Y= -39875+6000 = -33875 and so forth. I am thinking, this way we can see some shift in the plot and difference between two dates (29Jun and 6Jul). And I tried this.. PROC SQL; create table mydata as SELECT *, CASE WHEN Date="06JUL2016"d THEN (y+6000) ELSE y END AS Y_Plus_6K FROM mydata; QUIT; proc sgplot data=mydata1; series x=x y=Y_Plus_6K / group=Date transparency=0.6 LINEATTRS=(thickness=2) break; yaxis grid; run; But this looks horrible. May be you could suggest me something better. Thanks once again.

imanojkumar1 · ‎11-25-2016

Can someone please help in adding 60 to each row in the following data: data have; infile cards truncover expandtabs; input X; cards; 248 182 115 48 -19 -84 -146 -205 -258 -307 349 384 -413 -436 452 462 -468 -469 -467 -463 ; run; So that the output looks like this: X X_new 248 308 182 242 115 175 48 108 -19 -79 -84 -144 -146 -206 -205 -265 -258 -318 -307 -367 349 409 384 444 -413 -473 -436 -496 452 512 462 522 -468 -528 -469 -529 -467 -527 -463 -523

imanojkumar1 · ‎11-25-2016

Hi RW9, Thanks for raising the concerns. I can assure this file is virus checked before uploading. Also, this data has some 5000 odds rows, so data step might not be a good option on this forum. And that's the reason why I had to upload the xlsx file (which is exported from SAS EG I work on).

imanojkumar1 · ‎11-25-2016

Using the attached data, I am plotting the X, Y values w.r.t. Dates. I am using the following code: proc sgplot data=mydata; series x=x y=y / group=Date break; yaxis grid; run; And this is what plot looks like: Now question is... in the above resulting plot I can not identify the 4 plots clearly. Therefore, I want to do this: Between plots, can we add some common no. say something like 6 so that there occurs some visible difference. Thick lines with different colors (so that visually we can identify each)

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