{"id":1218,"date":"2020-02-04T14:37:00","date_gmt":"2020-02-04T13:37:00","guid":{"rendered":"https:\/\/microdata.spirehost.no\/?p=1218"},"modified":"2024-05-03T07:50:54","modified_gmt":"2024-05-03T06:50:54","slug":"new-command-for-random-population-sub-selections","status":"publish","type":"post","link":"https:\/\/www.microdata.no\/en\/new-command-for-random-population-sub-selections\/","title":{"rendered":"New command for random population sub-selections"},"content":{"rendered":"\n

Random population sub-selections are now possible through the new command sample<\/code>.<\/p>\n\n\n\n\n\n\n\n

For users operating with large populations\/datasets, data adaptations, codings and analysis may become resource demanding and time consuming to execute. In such cases, the sample<\/code> command may be used as a tool by trimming your population, in order for your executions to run more smoothly. Thus, it is possible to test your command scripts on a smaller sample before performing final executions on a total population.<\/p>\n\n\n\n

Also, for various testing purposes, such as testing of statistical methods or other statistics, sample<\/code> may be a useful tool.<\/p>\n\n\n\n

The command expects two input parametres: Sample size and seed number (in this particular order). By specifying a decimal number (0.0 – 1.0), your dataset will be trimmed down to the specific random sample share. By specifying an integer > 1000, your random sample will consist of this number of individuals.<\/p>\n\n\n\n

The seed number is a custom positive integer which ensures that the random sample is identical when performing consecutive executions of the same script. If another seed number is specified, a new sample will be randomly chosen, different from the previous.<\/p>\n\n\n\n

Example of a 10% random sample sub-selection using the seed 1234:<\/p>\n\n\n

\n
sample 0.1 1234<\/code><\/pre>\n<\/div>\n\n\n
Example of a random sample consisting of 10 000 individuals, using the seed 1234:<\/p>\n\n\n
\n
sample 10000 1234<\/code><\/pre>\n<\/div>\n\n\n
Example of a new 10% random sample sub-selection different from the first example, using another seed:<\/p>\n\n\n
\n
sample 0.1 5678<\/code><\/pre>\n<\/div>\n\n\n
Click here for more examples<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Random population sub-selections are now possible through the new command sample.<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[2],"tags":[],"class_list":["post-1218","post","type-post","status-publish","format-standard","hentry","category-news"],"acf":[],"yoast_head":"\nNew command for random population sub-selections - microdata.no<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microdata.no\/en\/new-command-for-random-population-sub-selections\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New command for random population sub-selections - 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