Server Side Programming Articles - Page 1479 of 2646

The readonly keyword is used to declare a member variable a constant, but allows the value to be calculated at runtime. This differs from a constant declared with the const modifier, which must have its value set at compile time. Using readonly you can set the value of the field either in the declaration, or in the constructor of the object that the field is a member of.The 'readonly' modifier can be used in a total of four contexts:Field declarationReadonly struct declarationReadonly member definitionRef read only method returnWhen we use the field declaration context, we need to know that the ... Read More

In data analysis, we encounter many problems with a lot of variations among them. One such problem is we have some information in a place that needs to be checked through a different place and these places can be data frames. Therefore, we need to find the position of a data frame’s column value based on a column value of another data frame. In R, we can easily do it with the help of which function.Example Live DemoConsider the below data frame −set.seed(12121) x1

Finding the distance among matrix values means that we want to find the distance matrix and it can be directly found by using dist function with the matrix name. For example, suppose we have a matrix of size 5x5 named as M then the distance matrix can be calculated as dist(M).Example1M1

By default, the X−axis labels are plotted on the bottom−axis of the plot and that is referred to as the first axis of axis 1, the second axis is the axis on the left−side, the third axis is the axis on the upper side of the plot, and the fourth axis is on the right−side of the plot. If we want to plot the X−axis labels on the upper−side of the plot then we can use xaxt="n" inside the plot function then define axis for upper−side using axis(3) with semi−colon.Example1xRead More

A list may contain many objects such as vector, matrix, data frame, list etc. In this way, we can have access to all the necessary objects at the same time. If we want to add a data frame inside a list then we can use the length of the list. For example, if we have a list defined as List and we want to add a data frame df to the List then it can be added as follows −List[[length(List)+1]]

The group−wise linear regression means creating regression model for group levels. For example, if we have a dependent variable y and the independent variable x also a grouping variable G that divides the combination of x and y into multiple groups then we can create a linear regression model for each of the group. In R, we can convert data frame to data.table object, this will help us to create the regression models easily.Example Live DemoConsider the below data frame −G1

To create a vector of data frame values by rows we can use c function after transposing the data frame with t. For example, if we have a data frame df that contains many columns then the df values can be transformed into a vector by using c(t(df)), this will print the values of the data frame row by row.Example1 Live Demoset.seed(798) x1

To create a character vector in R we can enclose the vector values in double quotation marks but if we want to use a data frame values to create a character vector then as.character function can be used. For example, if we have a data frame df then all the values in the df can form a character vector using as.character(df[]).Example1 Live Demox1

Line types can be very different and they are helpful to differentiate among different variables. Mostly, it is used to plot trend data so that the trend for different variables can be visualized with a unique line. In R, we can use matplot function to create such type of multiple lines chart.Example1 Live DemoM1

A Polynomial regression model is the type of model in which the dependent variable does not have linear relationship with the independent variables rather they have nth degree relationship. For example, a dependent variable x can depend on an independent variable y-square. There are two ways to create a polynomial regression in R, first one is using polym function and second one is using I() function.Example1set.seed(322) x1