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To create facetted plot with facets in horizontal direction using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create the facetted plot using facet_grid function of ggplot2 package.Use facet_grid function with reversed value of categorical column to create the facetted plot with facets in horizontal direction.Create the data frameLet's create a data frame as shown below − Live Demox
To define points outside the R data frame and draw them in ggplot2 graph, we can follow the below step −First of all, create a data frameThen, create the scatterplot using geom_point function of ggplot2 package.Create the scatterplot with data outside data frame using data.frame inside geom_point.Create the data frameLet's create a data frame as shown below − Live Demox
To create a ggplot2 graph in R without showing values, we can follow the below steps −First of all, create a data frame.Then, create the graph using ggplot2.Create the graph using ggplot2 without providing the function for the plot.Create the data frameLet's create a data frame as shown below − Live Demox
To delete lines after creating a line chart with points in base R we would need to create the points chart only, therefore, we can follow the below steps −First of all, create two vectors and create the line chart with points.Now, again create the line chart but without pointsCreate the vectors and line chart with pointsUse plot and lines function to create the line chart with points as shown below − Live Demox
To create facetted scatterplot with scale of X-axis based on the numerical values corresponding to grouping column in R, we can follow the below steps −First of all, create a data frame having at least one grouping column and two numerical columns.Create the facetted scatterplot based on the grouping column.Create the facetted scatterplot based on grouping column with X-axis scale based on corresponding values in numerical columns.Create the data frameLet's create a data frame as shown below − Live Demox
To create NA column for a contingency table in R, we can follow the below steps −First of all, create a data frame with two columns having some NA values.Create a contingency table for two columns.Create the same table using useNA.Create the data frameLet's create a data frame as shown below − Live Demox
To find the confusion matrix for linear discriminant analysis in R, we can follow the below steps −First of all, create a data frame.Create new features using linear discriminant analysis.Find the confusion matrix for linear discriminant analysis using table and predict function.Create the data frameLet's create a data frame as shown below − Live DemoGroup
To apply different function to grouping values in an R data frame, we can follow the below steps −First of all, create a data frame.Then, use ifelse function to apply different function to grouping values.Create the data frameLet's create a data frame as shown below − Live Demox
To find the starting position for consecutive values given the length of consecutive values in an R vector, we can follow the below steps −First of all, create a vector with duplicated values.Find the run length.Create a vector with FALSE of vector size.Find the starting position by setting running length of consecutive values to TRUE for given length.Create the vectorLet’s create a vector having many duplciates so that we can get same consecutive values − Live Demox
To find the unique elements in multiple vectors, we can follow the below steps −First of all, create a number of vectors.Use setdiff function to find the common elements in all the vectors.Create the vectorsLet’s create a number of vectors as shown below − Live Demox