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anilgvdbm
‎04-18-2022
  • 82 Posts
  • 6 Likes Given
  • 0 Solutions
  • 16 Likes Received
About
I had completed my under Graduation in the Agriculture sector, and I did My MBA in Food Sector in during MBA course i learned SAS and Statistics and after that I joined in International Research Institute under CGIAR now i am handling agriculture and Consumption expenditure large datasets in SAS 9.3 software. and about my work extracts the huge data from text format to SAS and doing reports , tabulations statistical modelling etc. Writing programs in SAS

Converting sas data version 6 to version 9 files

by Quartz | Level 8 in SAS Data Science
‎01-06-2014 03:48 AM
‎01-06-2014 03:48 AM
Dear All, Here i have data of SAS 6th version files but those files are not working in SAS 9.3 version. So i used V6 option in libname statement but still its not working. please can anybody give solution for this. Thank you very much in advance. Anil ... View more

Re: Regarding grouping in arrays

by Quartz | Level 8 in SAS Data Science
‎11-21-2013 12:04 PM
‎11-21-2013 12:04 PM
Dear Ballardw, My output looks like this i need to do 5 groups using 10 percentiles like 1-2 is group 1  - - - 8-10 is group 5 Inc2001 Income Group2001 Inc2002 Income Group2001 5400 1 17800 22300 3 22500 52000 2 68000 20000 5 138000 5000 4 6150 35600 1 21100 10000 2 12900 11000 4 9750 19200 1 10500 3000 2 8110 59600 1 30000 18400 29025 30000 21000 113743 136377 52645 81526 -12089 24526 -34462 218391 -16741 120024 10000 12900 19200 10500 59600 30000 18400 29025 30000 21000 113743 136377 52645 81526 -12089 24526 -34462 218391 -16741 120024 ... View more

Regarding grouping in arrays

by Quartz | Level 8 in SAS Data Science
‎11-20-2013 09:54 PM
‎11-20-2013 09:54 PM
Dear Friends , I have 20 years income data of household level. for that i calculate Percentiles now i need to group like 1-2 percentiles are group 1 and 3-4 are group 2 like up to ten i need to group. in SAS i need to write if and then codes for each year. so i dont have idea to use arrays. please help me in this. I attached data for your information. Table 1: Percentiles 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 3840 9795 17461 13203 16994 23436 25350 22863 27005 31948 23443 8679 14680 23152 20181 28419 34726 37602 32400 49392 58940 40204 16138 22036 28532 27956 34871 41041 55859 39890 65261 93045 54077 22020 27066 31435 35208 45183 48419 66204 51000 85441 112134 79532 27144 33238 40500 44160 57090 59760 90264 69334 97242 140537 96975 31633 43346 49200 54060 70867 72069 118168 87502 115363 164003 130210 40473 54767 58063 66744 80877 89957 135285 101120 129027 190376 156643 51504 65944 72027 81012 97269 109091 172723 135893 150455 236750 183306 65590 85163 102789 105525 138842 155322 214957 164344 200579 332079 231901 140170 218391 230555 266050 274477 255686 653227 379596 426260 700925 739109 Table 2 : Data of Household income Inc2001 Inc2002 Inc2003 Inc2004 Inc2005 Inc2006 Inc2007 Inc2008 Inc2009 Inc2010 Inc2011 5400 17800 19890 23450 22500 34600 22300 22500 31000 33225 42710 45606 55940 57600 52000 68000 58000 28500 35990 48960 77800 32400 20000 138000 110000 108000 153950 154720 217800 321000 5000 6150 41000 5250 41543 10796 10300 19560 35600 21100 54030 56890 72050 85050 10000 12900 16278 14330 19781 35750 36660 37686 11000 9750 20000 13900 34340 25090 31500 21900 19200 10500 25000 13368 12683 27212 25000 2400 3000 8110 17500 23088 11999 131860 34964 27870 59600 30000 34733 29000 34540 71454 55850 96000 18400 29025 20000 16800 44675 28241 121434 36222 30000 21000 40000 15000 31875 134130 66100 99200 113743 136377 135627 185955 226647 215625 653227 307845 52645 81526 72977 125203 80726 178238 340600 310731 -12089 24526 19988 41058 61557 41878 90810 33150 -34462 218391 82326 218305 274477 125216 176254 136524 -16741 120024 125711 56525 70695 42883 201606 67920 131740 126789 123574 152760 98306 40268 35900 52540 37742 68970 47403 108878 99558 74990 65280 72989 29320 80828 65130 70405 139360 54768 38064 62976 71725 53039 120706 75985 328916 379596 53248 66300 63132 78740 92311 79050 120076 180491 35643 33368 48630 35979 61057 48284 211973 70253 2952 29822 21045 25632 94000 27418 14200 61437 26685 9726 8711 10770 26817 49703 26561 25541 35855 74815 67361 141430 138205 29744 56279 84483 102233 81505 63433 159983 268896 20054 47200 28545 49356 39913 163095 135580 118711 31030 43256 46516 68305 127033 175012 298783 147805 81850 88252 55149 70100 17853 41155 87110 57351 22747 26500 42673 43211 49303 55592 74806 100025 67312 164344 26018 23453 33415 45730 23176 49084 64722 90872 45285 72956 31520 95936 95713 167885 213580 125495 27232 57378 93079 44845 45227 33813 90758 27727 20113 35318 49243 112157 29118 30006 45718 27459 16100 13967 19208 19106 38845 53520 34100 51000 11694 9043 27750 38944 65969 56642 58870 144347 22000 14800 22500 20450 35523 26574 32820 43400 30862 20247 35050 25483 18960 53970 66220 62880 51299 39202 29212 74370 65478 91657 143817 159360 31892 44593 28873 32785 77549 65686 211455 69334 14900 18100 60000 62400 43990 45900 27551 12707 24450 30000 35374 33365 38015 57590 37460 23024 12918 23510 34189 39994 40439 38205 42314 27144 22437 31307 29983 39147 45170 52447 71418 20350 40370 53187 43475 63388 58690 67200 41853 4000 3000 5000 4250 7388 9330 10650 13020 36671 36184 47146 102187 120462 135893 24250 16500 47989 93250 24900 80900 32250 23550 32159 43005 14676 39114 106750 66075 71840 103599 218199 114786 52000 47700 57830 74915 93342 94775 52545 72173 108468 89115 38929 54890 39890 54275 63550 48250 14135 48881 49172 65337 82870 124896 113052 162220 112924 182763 157624 2383 28739 58239 82130 80887 80293 56801 133721 159206 155261 80824 21848 33495 27300 21205 48460 100280 156400 107642 146143 214941 137191 46384 47400 65385 44328 86262 153862 178162 43883 59782 12910 17040 21928 17750 66834 65924 58650 45125 56350 40965 89770 56156 59095 4741 38956 39101 44860 43245 54241 21559 33580 35209 48120 82634 142977 70990 50815 36970 55200 149503 112446 126710 89576 79439 155450 156981 12146 91104 38095 297183 150729 116632 12000 19750 17500 16660 19395 28447 40000 45100 104460 57470 53220 30400 24950 34798 47408 79525 84999 91350 84784 97748 35750 26964 89380 32170 27780 3600 3750 28500 5175 8728 8880 10000 15330 17170 12750 6850 36751 84820 61250 102864 159861 46477 81380 36385 75703 90742 96202 87407 132633 95985 67500 94450 60800 21140 33108 28577 15315 3020 23098 66139 22863 16313 96530 52376 48291 51631 81550 74683 87455 78242 119018 120424 119022 333448 212475 54131 102246 56700 80340 108199 110985 202025 160085 165351 331927 227106 5700 3600 10500 5190 3390 70525 66023 54890 81748 107482 99693 174582 101120 182760 546229 275093 37347 44603 39171 51076 80790 60215 115370 46166 84628 147171 88868 3800 -13265 29557 31892 25111 33404 62228 77828 99657 102266 119304 173866 28755 19515 24850 33866 64382 109411 121350 109292 309560 111499 91021 6000 5050 11711 11715 21038 31135 19583 28390 99851 152544 61786 32941 234181 281548 32250 34962 36426 50580 42900 25900 28750 21588 76383 40000 30175 38303 59700 99140 158440 22100 17100 24250 18643 27153 27960 33500 31190 50397 59308 43285 33310 43480 50776 96158 51270 60083 124363 93150 125433 135015 35260 22695 36004 30436 30223 154713 98355 359660 132567 198383 350541 138916 29063 23296 23315 20610 49422 51167 138613 125661 135327 257656 162806 6000 12000 8000 9625 20130 19010 13000 21940 40170 85960 22540 191060 112676 200538 166973 173419 201331 243089 18401 15103 11350 16485 23830 19720 19500 114498 115514 217689 128852 220341 281465 142705 70167 107373 213786 229640 149337 94032 127863 46227 12810 25500 18450 23380 43918 121950 158605 109260 86360 24286 27402 17114 28501 28340 35166 47832 41390 39350 38736 30550 8300 13300 11750 9300 9621 10123 11888 13056 23760 29950 23830 45005 30829 36461 32783 60036 62578 66603 44164 73441 107048 74288 71934 112557 72510 130500 182300 211000 242800 56251 51830 82078 48522 34638 59760 77118 69032 83611 250184 129127 140170 134528 167786 168610 120036 158398 293921 214051 226720 394032 219259 14066 34465 5000 2900 17750 22100 16450 16196 60059 73490 105347 84823 76643 142614 149791 95175 158047 297096 98847 65459 230555 266050 147445 61572 130242 294574 99309 194915 74363 138020 157729 228079 187175 120139 245111 250824 6000 2400 5000 3000 15204 54845 128298 77234 27357 135285 49600 25501 12634 45500 35643 81082 41729 96457 39847 85983 144709 166288 41015 28739 19985 45193 78132 62129 99740 53909 84563 180612 120414 23350 31356 47093 65264 16515 128937 120063 54371 123171 178675 152874 46395 43043 102609 73468 122811 150319 213312 87502 123967 199604 157062 63195 54120 104405 64786 70059 63449 117956 91641 141536 236075 207570 2906 32620 52577 94000 197556 251541 60820 107898 94860 75259 95609 255686 169934 97019 243613 176183 402386 47415 77222 58209 51934 93917 107565 143483 74107 122304 172936 111278 83909 49844 44174 110709 140759 130432 181711 144496 261847 590516 454397 47422 76923 139798 87751 216183 212816 387756 263975 426260 700925 739109 183126 42077 80492 55564 61584 78388 126327 232226 134540 2000 10800 8160 2000 17200 17100 37200 26300 38400 37000 44500 3900 36835 34385 34960 133899 34900 53653 14102 47042 44575 -198 6160 19926 15037 38346 112961 53604 123037 28593 15692 56534 6840 28537 9900 50779 92772 120164 113419 13200 9800 19500 7975 16246 29587 25690 34248 59651 67521 36931 39660 49200 65860 57100 59452 79125 81966 88149 77855 92384 185562 95194 178158 190246 243826 28504 49980 97740 64910 68578 68809 80125 107128 90110 102518 192023 110614 101750 300740 207930 34299 57764 44615 57313 93535 71652 119180 66983 141735 136364 65943 51812 60378 41707 41078 140767 87112 116953 54972 86318 421715 92064 31784 61821 46560 58937 71557 136211 155913 40353 76152 188431 205881 17420 36145 98968 32803 77058 154926 239451 137602 8932 61534 71790 79650 75188 85679 165205 147556 138004 222390 186736 ... 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Re: Dear friends,

by Quartz | Level 8 in SAS Data Science
‎11-06-2013 12:31 AM
‎11-06-2013 12:31 AM
dear sir , Thank you very much for your help. Thanks ANil ... View more

Re: Dear friends,

by Quartz | Level 8 in SAS Data Science
‎11-05-2013 11:53 PM
3 Likes
‎11-05-2013 11:53 PM
3 Likes
Dear Sir , I am getting this error "    libname test v6 'D:\District level data\DHS-India\NFHS 1992-93\All-India\HH   ! raw\IAHH21FL.sd2' ; ERROR: Library TEST is not in a valid format for access method RANDOM. ERROR: Error in the LIBNAME statement.  """ Please help in this. Thanks Anil ... View more

Dear friends,

by Quartz | Level 8 in SAS Data Science
‎11-05-2013 10:45 PM
‎11-05-2013 10:45 PM
i have one question to all  i got one sas dataset like datasetname.sd2 extension format when i click open its opening in SAS entreprise. but i dont know how to import into sas 9.3. please give me an solution for that. ... View more

Re:Date format for the Date of Interview variable.

by Quartz | Level 8 in SAS Data Science
‎09-25-2013 03:40 AM
‎09-25-2013 03:40 AM
It's not working because all my data is in csv format it's huge data i am not able to do it like this for all huge files can we apply any data steps after importing to sas? Here is the example which i tried: proc import datafile="E:\VLS consumption data\New data\all76-83.xlsx" out=vls7683 dbms=xlsx ; run; data vls7683; set vls7683; date_int=input(Date_of_Interview,10.); format date_int  ddmmyy10.; run; ... View more

Re:Date format for the Date of Interview variable.

by Quartz | Level 8 in SAS Data Science
‎09-25-2013 01:37 AM
‎09-25-2013 01:37 AM
Dear Scott, I am not able to attach the csv file it's contain 5 lakh observation so i pasted some sample data here Vdsid_hhid Year Landholding Group Date of Interview Category of items item_Name Unit of item Quantity Total value INAPAUR101000000 1976 Labour 20/03/1977 Non-food Grinding_milling_exp 2.5 INAPAUR101000000 1976 Labour 16/05/1977 Non-food Grinding_milling_exp 0.4 INAPAUR101000000 1976 Labour 9/2/1977 Food Sorghum Kilogram 15 12 INAPAUR101000000 1976 Labour 14/01/1977 Food Sorghum Kilogram 50 50 INAPAUR101000000 1976 Labour 9/2/1977 Food Rice Kilogram 50 45 INAPAUR101000000 1976 Labour 14/01/1977 Food Rice Kilogram 50 50 INAPAUR101000000 1976 Labour 18/07/1976 Food Rice Kilogram 45 INAPAUR101000000 1976 Labour 18/07/1976 Food Rice Kilogram 8 5.6 INAPAUR101000000 1976 Labour 12/6/1977 Food Rice Kilogram 12 9.6 INAPAUR101000000 1976 Labour 3/1/1977 Food Rice Kilogram 18 20 INAPAUR101000000 1976 Labour 16/05/1977 Food Rice Kilogram 20 16 INAPAUR101000000 1976 Labour 14/01/1977 Food Rice Kilogram 25 25 INAPAUR101000000 1976 Labour 9/2/1977 Food Rice Kilogram 25 25 INAPAUR101000000 1976 Labour 12/6/1977 Food Rice Kilogram 26 21 INAPAUR101000000 1976 Labour 2/11/1976 Food Rice Kilogram 30 21 INAPAUR101000000 1976 Labour 23/09/1976 Food Rice Kilogram 32 22.4 INAPAUR101000000 1976 Labour 13/10/1976 Food Rice Kilogram 32 22.4 INAPAUR101000000 1976 Labour 16/05/1977 Food Rice Kilogram 36 28.8 INAPAUR101000000 1976 Labour 2/11/1976 Food Rice Kilogram 48 33.6 INAPAUR101000000 1976 Labour 4/9/1976 Food Rice Kilogram 52 36.4 INAPAUR101000000 1976 Labour 4/9/1976 Food Rice Kilogram 60 42 INAPAUR101000000 1976 Labour 12/6/1977 Food Rice Kilogram 60 50 INAPAUR101000000 1976 Labour 15/12/1976 Food Rice Kilogram 76 53.2 INAPAUR101000000 1976 Labour 15/12/1976 Food Rice Kilogram 80 56 INAPAUR101000000 1976 Labour 20/03/1977 Food Rice Kilogram 80 80 INAPAUR101000000 1976 Labour 18/07/1976 Food Rice Kilogram 160 125 INAPAUR101000000 1976 Labour 13/10/1976 Food Meat_goat_chicken_sheep Kilogram 1 6 INAPAUR101000000 1976 Labour 3/1/1977 Food Meat_goat_chicken_sheep Kilogram 2 5 INAPAUR101000000 1976 Labour 3/1/1977 Food Redgram dhal Kilogram 0.25 1.25 INAPAUR101000000 1976 Labour 23/09/1976 Food Onion Kilogram 1 0.5 INAPAUR101000000 1976 Labour 13/10/1976 Food Onion Kilogram 1 0.5 INAPAUR101000000 1976 Labour 15/12/1976 Food Onion Kilogram 1.5 1.35 INAPAUR101000000 1976 Labour 4/9/1976 Food Onion Kilogram 2 0.8 INAPAUR101000000 1976 Labour 2/11/1976 Food Onion Kilogram 2 1 INAPAUR101000000 1976 Labour 12/6/1977 Food Chillies 5.2 INAPAUR101000000 1976 Labour 18/07/1976 Food Chillies 7.4 INAPAUR101000000 1976 Labour 16/05/1977 Food Chillies 11.4 INAPAUR101000000 1976 Labour 9/2/1977 Food Chillies Kilogram 0.5 1.3 INAPAUR101000000 1976 Labour 9/2/1977 Food Chillies Kilogram 1 2.5 INAPAUR101000000 1976 Labour 20/03/1977 Food Chillies Kilogram 1 6 INAPAUR101000000 1976 Labour 14/01/1977 Food Chillies Kilogram 1.5 4 INAPAUR101000000 1976 Labour 23/09/1976 Food Chillies Kilogram 3 3.6 INAPAUR101000000 1976 Labour 13/10/1976 Food Chillies Kilogram 3 3.6 INAPAUR101000000 1976 Labour 2/11/1976 Food Chillies Kilogram 3 3.6 INAPAUR101000000 1976 Labour 4/9/1976 Food Chillies Kilogram 3 4.7 INAPAUR101000000 1976 Labour 15/12/1976 Food Chillies Kilogram 5 6 INAPAUR101000000 1976 Labour 3/1/1977 Food Brinjal Kilogram 3 3 INAPAUR101000000 1976 Labour 3/1/1977 Food Other vegetables Kilogram 2 2 INAPAUR101000000 1976 Labour 20/03/1977 Food Other_Spices 0.5 INAPAUR101000000 1976 Labour 14/01/1977 Food Other_Spices 1 INAPAUR101000000 1976 Labour 10/2/1977 Food Other_Spices 1.3 INAPAUR101000000 1976 Labour 9/2/1977 Food Other_Spices 1.3 INAPAUR101000000 1976 Labour 12/6/1977 Food Other_Spices 1.3 INAPAUR101000000 1976 Labour 16/05/1977 Food Other_Spices 1.7 INAPAUR101000000 1976 Labour 18/07/1976 Food Other_Spices 1.85 INAPAUR101000000 1976 Labour 23/09/1976 Food Other_Spices Kilogram 0.25 0.75 INAPAUR101000000 1976 Labour 15/12/1976 Food Other_Spices Kilogram 0.5 1.4 INAPAUR101000000 1976 Labour 13/10/1976 Food Other_Spices Kilogram 0.5 1.5 INAPAUR101000000 1976 Labour 2/11/1976 Food Other_Spices Kilogram 0.5 1.5 INAPAUR101000000 1976 Labour 4/9/1976 Food Other_Spices Kilogram 1 0.2 INAPAUR101000000 1976 Labour 4/9/1976 Food Other_Spices Kilogram 1 3 INAPAUR101000000 1976 Labour 23/09/1976 Food Other_Spices Kilogram 1.5 0.3 INAPAUR101000000 1976 Labour 13/10/1976 Food Other_Spices Kilogram 2 0.4 INAPAUR101000000 1976 Labour 20/03/1977 Food Other_Spices Kilogram 3 1 INAPAUR101000000 1976 Labour 2/11/1976 Food Other_Spices Kilogram 4 0.8 INAPAUR101000000 1976 Labour 9/2/1977 Food Other_Spices Kilogram 4 5 INAPAUR101000000 1976 Labour 15/12/1976 Food Other_Spices Kilogram 8 1.6 INAPAUR101000000 1976 Labour 14/01/1977 Food Gur_jaggery 0.5 INAPAUR101000000 1976 Labour 16/05/1977 Non-food Alcoholic beverages 5 INAPAUR101000000 1976 Labour 18/07/1976 Non-food Alcoholic beverages 9.25 INAPAUR101000000 1976 Labour 20/03/1977 Non-food Alcoholic beverages 18 INAPAUR101000000 1976 Labour 4/9/1976 Non-food Alcoholic beverages 11.8 INAPAUR101000000 1976 Labour 9/2/1977 Non-food Alcoholic beverages Litres 5 1 INAPAUR101000000 1976 Labour 14/01/1977 Non-food Alcoholic beverages Litres 10 2 INAPAUR101000000 1976 Labour 16/05/1977 Non-food Tobacco, beedi 1.71 INAPAUR101000000 1976 Labour 14/01/1977 Non-food Tobacco, beedi 3.3 INAPAUR101000000 1976 Labour 23/09/1976 Non-food Tobacco, beedi 4 INAPAUR101000000 1976 Labour 13/10/1976 Non-food Tobacco, beedi 4 INAPAUR101000000 1976 Labour 2/11/1976 Non-food Tobacco, beedi 4 INAPAUR101000000 1976 Labour 9/2/1977 Non-food Tobacco, beedi 5 INAPAUR101000000 1976 Labour 18/07/1976 Non-food Tobacco, beedi 5.55 INAPAUR101000000 1976 Labour 12/6/1977 Non-food Tobacco, beedi 7.8 INAPAUR101000000 1976 Labour 15/12/1976 Non-food Tobacco, beedi 8.6 INAPAUR101000000 1976 Labour 16/05/1977 Non-food Tobacco, beedi 17.1 INAPAUR101000000 1976 Labour 4/9/1976 Non-food Tobacco, beedi Kilogram 0.75 4.5 INAPAUR101000000 1976 Labour 20/03/1977 Non-food Tobacco, beedi Numbers 400 5 INAPAUR101000000 1976 Labour 18/07/1976 Non-food Clothing 10 INAPAUR101000000 1976 Labour 4/9/1976 Non-food Clothing 16 INAPAUR101000000 1976 Labour 12/6/1977 Non-food Clothing 20 INAPAUR101000000 1976 Labour 13/10/1976 Non-food Clothing 25 INAPAUR101000000 1976 Labour 16/05/1977 Non-food Clothing 30 INAPAUR101000000 1976 Labour 13/10/1976 Non-food Clothing 30 INAPAUR101000000 1976 Labour 9/2/1977 Non-food Medical_exp 3 INAPAUR101000000 1976 Labour 20/03/1977 Non-food Medical_exp 5 INAPAUR101000000 1976 Labour 15/12/1976 Non-food Medical_exp 11 INAPAUR101000000 1976 Labour 4/9/1976 Non-food Travel and Entertainment 1.4 INAPAUR101000000 1976 Labour 9/2/1977 Non-food Travel and Entertainment 2 INAPAUR101000000 1976 Labour 4/9/1976 Non-food Electricity_Water_exp 0.6 INAPAUR101000000 1976 Labour 14/01/1977 Non-food Electricity_Water_exp 1 INAPAUR101000000 1976 Labour 12/6/1977 Non-food Electricity_Water_exp 2.6 INAPAUR101000000 1976 Labour 9/2/1977 Non-food Electricity_Water_exp Kilogram 50 0.5 INAPAUR101000000 1976 Labour 14/01/1977 Non-food Electricity_Water_exp Kilogram 200 2 INAPAUR101000000 1976 Labour 18/07/1976 Non-food Others 1.85 INAPAUR101000000 1976 Labour 9/2/1977 Non-food Others Litres 1 1.6 INAPAUR101000000 1976 Labour 23/09/1976 Non-food Others Litres 1.5 2.25 INAPAUR101000000 1976 Labour 13/10/1976 Non-food Others Litres 1.5 2.25 INAPAUR101000000 1976 Labour 2/11/1976 Non-food Others Litres 1.5 2.25 INAPAUR101000000 1976 Labour 20/03/1977 Non-food Others Litres 3 3.6 INAPAUR101000000 1976 Labour 15/12/1976 Non-food Others Litres 3 4.5 INAPAUR101000000 1976 Labour 23/09/1976 Non-food Others Numbers 4 0.4 ... 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Re:Date format for the Date of Interview variable.

by Quartz | Level 8 in SAS Data Science
‎09-25-2013 12:35 AM
‎09-25-2013 12:35 AM
Dear Scott, it's in sas dataset. in external csv file it's showing date format but when i imported into sas it's showing like above i said. ... View more

Re:Date format for the Date of Interview variable.

by Quartz | Level 8 in SAS Data Science
‎09-24-2013 11:54 PM
‎09-24-2013 11:54 PM
Dear All i have small problem in the date format ... i have an variable called date of interview from 20/03/1977 to 01/02/2013 so the raw data i had imported into sas in the date of inteview variable its showing some are dates and some are in sas number. Example is here: Date_of_interview 20/03/1977 16/05/1977 28370 14/01/1977 28370 28465 28185 16/05/1977 14/01/1977 28370 Please help me in this. Thank you ... View more

Re: Dear All please can anybody share an exapmles for Markov chaon ana...

by Quartz | Level 8 in SAS Procedures
‎08-30-2013 01:46 AM
‎08-30-2013 01:46 AM
Mirisage, Many thanks for sharing hypothetical codes. i will try to apply for my example. Regards Anil ... View more

Dear All please can anybody share an exapmles for Markov chaon analysi...

by Quartz | Level 8 in SAS Procedures
‎08-26-2013 12:40 AM
‎08-26-2013 12:40 AM
Dear All, I am trying to fit Markov chain analysis for 25 years data so in excel it will take only 10 years data. But i came to know that in SAS we can do that. If anybody had done this please give me some references. it's great help for me. Regards, Anil ... View more

Re: Discussion on Proc transpose

by Quartz | Level 8 in SAS Data Science
‎08-22-2013 12:33 AM
‎08-22-2013 12:33 AM
Dear Scott, Thanks a lot for your idea now it's working. i will keep in touch with you. thanks a lot. My mail id - anilgvdbm@gmail.com ... View more

Re: Discussion on Proc transpose

by Quartz | Level 8 in SAS Data Science
‎08-14-2013 06:07 AM
‎08-14-2013 06:07 AM
dataset1 is in the form of text which i attached in Zip file as a text file. Dataset2 i forgot to attach. even i need transpose for dataset 1. so in this operation dataset2 is not required. ... View more

Re: Discussion on Proc transpose

by Quartz | Level 8 in SAS Data Science
‎08-14-2013 05:11 AM
‎08-14-2013 05:11 AM
Ya dataset 2 is not relevant i need only transpose for dataset 1 which i have sent by attachment earlier. Thank you Anil ... View more
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