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Page 1896 of 2109
How to divide all columns by one column and keeping original data in R?
To divide all columns of data frame in R by one column and keeping the original data, we can use mutate_at function of dplyr package along with list function.For example, if we have a data frame called df that contains five columns say x, y, z, a, and b then we can divide all columns by b and keep the original data by using the below given command −df%>%mutate_at(vars(x:b),list(All_by_b=~./b))Example 1Following snippet creates a sample data frame −x1
Read MoreCreate histogram with horizontal boxplot on top in base R.
To create a histogram with horizontal boxplot on top in base R, we first need to define the layout of the plotting area with layout function and par function margin (mar) then the boxplot will be created and after that the histogram will be created. While creating the boxplot and histogram we need to make sure that the ylim for boxplot and xlim for histogram are same.Check out the below Example to understand how it can be done.ExampleTo create a histogram with horizontal boxplot on top in base R, use the following snippet −x
Read MoreMerge Sort Tree in C++
We are given an integer array, a set of segment start and end pointers and a key value and the problem statement here is to find all the values in the given range which are smaller than or equal to the given key value.Let us understand with exampleInput − arr[] = {7, 8 , 1, 4 , 6 , 8 , 10 }Segment 1: start = 2, end = 4, k = 2Segment 2: start = 1, end = 6, k = 3Output − Count of number which are smaller than or equal to key value in the given range are 2 ...
Read MoreHow to increase the width of lines for histogram like plots in base R?
The histogram like plot in base R is the plots of vertical lines instead of points in a vector or column of a data frame. If we increase the width of these lines then the plot becomes more like a histogram as the increment in widths make the vertical lines look like bars.To increase the width of lines for histogram like plots in base R, we can use lwd argument.Check out the below example to understand the difference between point chart and histogram like plot in base R.ExampleUse the code given below to increase the width of lines for histogram ...
Read MoreHow to increase the X-axis labels font size using ggplot2 in R?
To increase the X-axis labels font size using ggplot2, we can use axis.text.x argument of theme function where we can define the text size for axis element. This might be required when we want viewers to critically examine the X-axis labels and especially in situations when we change the scale for X-axis.Check out the below given example to understand how it can be done.ExampleFollowing snippet creates a sample data frame −x
Read MoreHow to create a group column in an R data frame?
Suppose we have a data frame called df that contains two columns say X and Y then we can create a group column based on X and Y by converting df into a data.table object and creating list of values in X and Y with list function.Check out the below Examples to understand how it can be done.Example 1Following snippet creates a sample data frame −x1
Read MoreHow to multiply two matrices in R if they contain missing values?
If we want to multiply two matrices if they contain missing values then we first need to convert the missing values to zeros and then the multiplication can be easily done. If we do not do so then the Output of the multiplication will have NAs at all positions.Check out the Examples given below to understand the correct of multiplication if NAs are present in the matrices.Example 1Following snippet creates a sample matrix −M1
Read MoreMerge Sort using Multithreading in C++
We are given an unsorted integer array. The task is to sort the array using merge sort technique implemented via Multi-threadingMerge SortMerge sort is a sorting technique which is based on divide and conquer technique where we divide the array into equal halves and then combine them in a sorted manner.Algorithm to implement merge sort ischeck if there is one element in the list then return the element.Else, Divide the data recursively into two halves until it can’t be divided further.Finally, merge the smaller lists into new lists in sorted order.Multi-ThreadingIn the operating system, Threads are the lightweight process which ...
Read MoreHow to hide outliers in base R boxplot?
To hide outliers in base R boxplot, we can use range argument inside boxplot function but we will have to play with range argument. The range argument can take many values therefore, we would need to find the correct one that removes all the outliers. To understand how it works check out the Example given below −ExampleTo hide outliners in base R boxplot, use the following snippet −x
Read MoreMemorization (1D, 2D and 3D) Dynamic Programming in Java
Memorization is a technique based on dynamic programming which is used to improve the performance of a recursive algorithm by ensuring that the method does not run for the same set of inputs more than once by keeping a record of the results for the provided inputs(stored in an array).Memorization can be achieved by implementing top down approach of the recursive method.Let us understand this scenario with the help of basic Fibonacci example1-D MemorizationWe will be considering a recursive algorithm with only one non constant parameter (only one parameter changes its value) hence this method is called 1-D memorization. The ...
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