{"id":2067,"date":"2023-07-23T20:48:45","date_gmt":"2023-07-23T20:48:45","guid":{"rendered":"https:\/\/statorials.org\/my\/col-%e1%80%80-r-%e1%80%9c%e1%80%ad%e1%80%af%e1%80%b7-%e1%80%a1%e1%80%93%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%ab%e1%80%9a%e1%80%ba%e1%80%9b%e1%80%95%e1%80%ab%e1%80%90%e1%80%9a%e1%80%ba%e1%81%8b\/"},"modified":"2023-07-23T20:48:45","modified_gmt":"2023-07-23T20:48:45","slug":"col-%e1%80%80-r-%e1%80%9c%e1%80%ad%e1%80%af%e1%80%b7-%e1%80%a1%e1%80%93%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%ab%e1%80%9a%e1%80%ba%e1%80%9b%e1%80%95%e1%80%ab%e1%80%90%e1%80%9a%e1%80%ba%e1%81%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/col-%e1%80%80-r-%e1%80%9c%e1%80%ad%e1%80%af%e1%80%b7-%e1%80%a1%e1%80%93%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%ab%e1%80%9a%e1%80%ba%e1%80%9b%e1%80%95%e1%80%ab%e1%80%90%e1%80%9a%e1%80%ba%e1%81%8b\/","title":{"rendered":"R \u1010\u103d\u1004\u103a colmeans() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b"},"content":{"rendered":"

<\/p>\n

\n

R \u101b\u103e\u102d colMeans()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f R \u101b\u103e\u102d matrix \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a data frame \u1010\u1005\u103a\u1001\u102f\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a-<\/span><\/p>\n

 #calculate column means of every column<\/span>\ncolMeans(df)\n\n#calculate column means and exclude NA values<\/span>\ncolMeans(df, na. rm<\/span> = T<\/span> )\n\n#calculate column means of specific columns<\/span>\ncolMeans(df[c(' col1<\/span> ', ' col3<\/span> ', ' col4<\/span> ')])<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1024 syntax \u1000\u102d\u102f\u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f\u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 1- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (points=c(99, 91, 86, 88, 95),\n                 assists=c(33, 28, 31, 39, 34),\n                 rebounds=c(30, 28, 24, 24, 28),\n                 blocks=c(1, 4, 11, 0, 2))\n\n#calculate column means\n<\/span>colMeans(df)\n\n  points assists rebounds blocks \n    91.8 33.0 26.8 3.6<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 2<\/strong><\/span> : \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u103c\u102e\u1038 NA \u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u1011\u102f\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038\u1014\u103e\u1004\u1037\u103a NA \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u1011\u102f\u1010\u103a\u1015\u102f\u1036\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #create data frame with some NA values\n<\/span>df <- data. frame<\/span> (points=c(99, 91, 86, 88, 95),\n                 assists=c(33, NA, 31, 39, 34),\n                 rebounds=c(30, 28, NA, NA, 28),\n                 blocks=c(1, 4, 11, 0, 2))\n\n#calculate column means\n<\/span>colMeans(df, na. rm<\/span> = T<\/span> )\n\n  points assists rebounds blocks \n91.80000 34.25000 28.66667 3.60000<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 3- \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u102b\u104b<\/strong><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u101b\u103e\u102d \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (points=c(99, 91, 86, 88, 95),\n                 assists=c(33, 28, 31, 39, 34),\n                 rebounds=c(30, 28, 24, 24, 28),\n                 blocks=c(1, 4, 11, 0, 2))\n\n#calculate column means for 'points' and 'blocks' columns\n<\/span>colMeans(df[c(' points<\/span> ', ' blocks<\/span> ')])\n\npoint blocks \n  91.8 3.6<\/strong><\/pre>\n
 \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (points=c(99, 91, 86, 88, 95),\n                 assists=c(33, 28, 31, 39, 34),\n                 rebounds=c(30, 28, 24, 24, 28),\n                 blocks=c(1, 4, 11, 0, 2))\n\n#calculate column means for columns in position 1 and 4\n<\/span>colMeans(df[c(1, 4)])\n\npoint blocks \n  91.8 3.6<\/strong><\/pre>\n
 \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a R \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 R \u1010\u103d\u1004\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f\u1005\u1036\u101e\u103d\u1031\u1016\u100a\u103a\u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R \u101b\u103e\u102d colMeans() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f R \u101b\u103e\u102d matrix \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a data frame \u1010\u1005\u103a\u1001\u102f\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a- #calculate column means of every column colMeans(df) #calculate column means and exclude NA values colMeans(df, na. rm = T ) #calculate column means of specific columns colMeans(df[c(‘ col1 ‘, ‘ col3 ‘, ‘ col4 ‘)]) \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1024 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nR \u2013 Statorials \u1010\u103d\u1004\u103a colMeans() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a R \u1010\u103d\u1004\u103a colMeans() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/my\/col-\u1000-r-\u101c\u102d\u102f\u1037-\u1021\u1013\u102d\u1015\u1039\u1015\u102b\u101a\u103a\u101b\u1015\u102b\u1010\u101a\u103a\u104b\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R \u2013 Statorials \u1010\u103d\u1004\u103a colMeans() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a R \u1010\u103d\u1004\u103a colMeans() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/col-\u1000-r-\u101c\u102d\u102f\u1037-\u1021\u1013\u102d\u1015\u1039\u1015\u102b\u101a\u103a\u101b\u1015\u102b\u1010\u101a\u103a\u104b\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T20:48:45+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" 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