To remove only first row from a data.table object we can follow the below steps −First of all, creating the data.table object.Subsetting the data frame with single square brackets by negation of 1Example1Create the data frameLet's create a data frame as shown below −library(data.table) x1

Converting a variable into zero mean and unit variance means that we want to standardize the variable and it can be done with the help of scale function we can follow the below steps −First of all, creating data frame.Then using scale function to convert the variable into zero mean and unit variance.Create the data frameLet's create a data frame as shown below − Live Demox

To create a line chart using ggplot2 that touches the edge we can follow the below steps −First of all, creating data frame.Then loading ggplot2 package and creating the line chart in default manner.After that creating the line chart with coord_cartesian function.Create the data frameLet's create a data frame as shown below − Live Demox

To test for the difference between two regression coefficients, we can follow the below steps −First of all, creating data frame.Then creating a regression model.After that testing the difference between regression coefficients using LienarHypothesis function of car package.Create the data frameLet's create a data frame as shown below − Live Demox1

If we have only one non-NA value in an R data frame column and a column that is categorical then we might want to replace the NAs with the given non-NA. For this purpose, we can follow the below steps −First of all, creating a data frameThen replacing the NA with non-NA with the help of min function of base R and mutate function of dplyr package.Create the data frameLet's create a data frame as shown below − Live DemoGrp

Suppose we have a numerical column in an R data frame that we do not want to include our analysis due to some characteristics such is similarity or distinction with the rest of the data then we might want to exclude that column from the analysis. One such situation would be finding the row sums by excluding a column. For this purpose, we can use the below steps −First of all, creating a data frame.Finding the row sums with the help of mutate function of dplyr package and setdiff function in base RCreate the data frameLet's create a data frame ... Read More

The facetted histograms are the separated histograms created for different categories in a single plot window. We can follow the below steps to create such type of histograms using ggplot2 −First of all, create the data frame.Load the ggplot2 package and create facetted histogram with the help of facet_grid function of ggplot2 package.Create the data frameLet's create a data frame as shown below − Live DemoGroup

To remove duplicates in series from each row in an R data frame, we can follow the below steps −Create a data frame.Removing duplicates in series from rows of the data frameCreate the data frameLet's create a data frame as shown below − Live Demox1

We know that the middle portion of a boxplot is a box which is covered with black border but we can remove that border from the plot by defining the aesthetics of the boxplot with color argument. We can follow the below steps to create such type of boxplot −Creating a data frame.Then create a default boxplot.Loading ggplot2 package and creating the same boxplot without box border.Create the data frameLet's create a data frame as shown below − Live Demox

A probability distribution is the type of distribution that gives a specific probability to each value in the data set. For example, if we have a variable say X that contains three values say 1, 2, and 3 and each of them occurs with the probability defined as 0.25, 0.50, and 0.25 respectively then the function that gives the probability of occurrence of each value in X is called the probability distribution. In R, we can create the sample or samples using probability distribution if we have a predefined probabilities for each value or by using known distributions such as ... Read More