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Programming Articles - Page 1140 of 3363
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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
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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
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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
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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
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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
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If we want to create a subset of a data frame based on multiple numerical columns then we can follow the below steps −Creating a data frame.Subsetting the data frame with the help of filter function of dplyr package.Create the data frameLet's create a data frame as shown below − Live Demox1
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Subsetting is one of the commonly used technique which serves many different purposes depending on the objective of analysis. To subset a data frame if numerical column is greater than a certain value for a particular category in grouping column then we need to follow the below steps −Creating a data frame.Subsetting the data frame with the help of filter function of dplyr package.Create the data frameLet's create a data frame as shown below − Live Demox
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Subsetting is one of the commonly used technique which serves many different purposes depending on the objective of analysis. To subset a data frame if one of the supplied grouping values is found means that we want to subset if any of the categorical variable values is present in the categorical column and if we want to include a numerical column for a greater than value then we need to follow the below steps −Creating a data frame.Subsetting the data frame if any of the supplied value of categorical variable exist and a numerical column value is greater than a ... Read More
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Subsetting is one of the commonly used technique which serves many different purposes depending on the objective of analysis. To subset a data frame if one of the supplied grouping values is found means that we want to subset if any of the categorical variable values is present in the categorical column, for this purpose we can follow the below steps −Creating a data frame.Subsetting the data frame if any of the supplied value of categorical variable exist.Create the data frameLet's create a data frame as shown below − Live Demox