createElement(a),'c("'+a+'")'})+");return n}")(s,b.frag)}function r(a){a||(a=b);var printShived=!0,a)}var c="3.7.0",d=a.html5||{},e=/^<|^(?:button|map|select|textarea| 

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In this tutorial, you will learn how to select or subset data frame columns by names and position using the R function select() and pull() [in dplyr package]. We’ll also show how to remove columns from a data frame. You will learn how to use the following functions: pull(): Extract column values as a vector. The column of interest can be

indexOf(n.elements[s].name))if("SELECT"===n.elements[s]. selectNode(n)}catch(t){e.selectNodeContents(n)}return e}function i(n,i){if(n.intersectsNode){return n.intersectsNode(i)}else{return e(n,t(i))}}function r(e){var t=e. Ctrl-F5 or Ctrl-R (⌘-R on a Mac); Google Chrome: Press Ctrl-Shift-R (⌘-Shift-R function selectAllCountries( x ) { var selectBox = document. pushStack(e.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)} innerHTML="