loops

问题 I wonder if I can use such as for loop or apply function to do the linear regression in R. I have a data frame containing variables such as crim, rm, ad, wd. I want to do simple linear regression of crim on each of other variable. Thank you! 回答1: If you really want to do this, it's pretty trivial with lapply() , where we use it to "loop" over the other columns of df . A custom function takes each variable in turn as x and fits a model for that covariate. df <- data.frame(crim = rnorm(20), rm

问题 I am a newbie and I am to fulfill an exercise which is to write a simple program which would produce an array in console: 0, 0, 1, 0, 1, 2, I failed at google searching similar problems which would direct me at a solution. I will greatly appreciate your help. This is what i have been trying to build upon, but I am completely stuck: public static void main(String[] args) { // TODO Auto-generated method stub int[] table = new int[11]; for ( int i = 0; i <=10; i++){ table[i] = i; System.out

问题 I have a method that is supposed to check a player's HP and then perform some logic based on if the number is greater than 0, or less than or equal to 0. The method works but if I type it in the code and then change the hp value of a player it won't do anything until I type in the method name again. Then it will display the correct information. At first I thought of using some kind of loop instead of a method. If I am correct, that means I'd have to have put curly braces around all my code

问题 I am using a genetic interpretation software called SAIGE-GENE. The algorithm looks like this (full algorithm at https://github.com/weizhouUMICH/SAIGE/wiki/Genetic-association-tests-using-SAIGE#step-2--performing-the-region--or-gene-based-association-tests): It involves multiple different files being entered with chromosome numbers in their file names (1 to 22). SPAGMMATtest = function( vcfFile = "", vcfFileIndex = "", vcfField = "DS", groupFile ="", savFile = "", savFileIndex = "",

问题 I am using a genetic interpretation software called SAIGE-GENE. The algorithm looks like this (full algorithm at https://github.com/weizhouUMICH/SAIGE/wiki/Genetic-association-tests-using-SAIGE#step-2--performing-the-region--or-gene-based-association-tests): It involves multiple different files being entered with chromosome numbers in their file names (1 to 22). SPAGMMATtest = function( vcfFile = "", vcfFileIndex = "", vcfField = "DS", groupFile ="", savFile = "", savFileIndex = "",

问题 This code I'm using is from this previously asked question. This question has been asked and answered plenty of times but I'm specifically asking for the order to be listed by size from largest to smallest. public static void main(String[] args) { String inputedWord = "ABIGWORD"; for (String str : breakStringIntoPieces(inputedWord, 2)) { System.out.print("\n") + str; } } //Pass in word and minimum //substring length to print public static List<String> breakStringIntoAllPossibleSubstrings

问题 I have a widget menu in yii2: <?= \yii\widgets\Menu::widget([ 'encodeLabels' => false, 'options' => ['id' => 'dock'], 'items' => [ ['label' => 'ab...', 'template' => '<i class="fa fa-dashboard"></i><a href="{url}">{label}</a>', 'options' => ['class' => 'launcher dropdown hover'], 'submenuTemplate' => "\n<ul class='dropdown-menu'>\n{items}\n</ul>\n", 'items' => [ ['label' => 'a', 'url' => ['users/..'], 'visible' => Yii::$app->user->isGuest ], ['label' => 'b', 'url' => ['users/..'], 'visible' =

问题 I have a dataframe where the first row is the initial condition. df = pd.DataFrame({"Year": np.arange(4), "Pop": [0.4] + [np.nan]* 3}) and a function f(x,r) = r*x*(1-x) , where r = 2 is a constant and 0 <= x <= 1 . I want to produce the following dataframe by applying the function to column Pop row-by-row iteratively. I.e., df.Pop[i] = f(df.Pop[i-1], r=2) df = pd.DataFrame({"Year": np.arange(4), "Pop": [0.4, 0.48, 4992, 0.49999872]}) Question: Is it possible to do this in a vectorized way? I

问题 I have a dataframe where the first row is the initial condition. df = pd.DataFrame({"Year": np.arange(4), "Pop": [0.4] + [np.nan]* 3}) and a function f(x,r) = r*x*(1-x) , where r = 2 is a constant and 0 <= x <= 1 . I want to produce the following dataframe by applying the function to column Pop row-by-row iteratively. I.e., df.Pop[i] = f(df.Pop[i-1], r=2) df = pd.DataFrame({"Year": np.arange(4), "Pop": [0.4, 0.48, 4992, 0.49999872]}) Question: Is it possible to do this in a vectorized way? I

问题 Could you please help me? I want to make a list based on information contained in an R data frame. I found a solution, but it is not general. For instance, let's start with this data frame: df <- data.frame(vertices = paste(letters[1:20]), modules = rep(1:4, 5)) I want to use df$modules to turn the data frame into a list. The items of the list should contain data from df$vertices . So I found this solution: list1 <- split(df, df$modules) list2 <- vector(mode = "list", length = length(unique