Programming Articles - Page 898 of 2501

To create a scatterplot with low intensity of points using ggplot2, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot.Create the scatterplot with scale_color_hue function for low intensity of points.Create the data frameLet's create a data frame as shown below − Live Demox

To return a logical value for a t test based on 0.05 level of significance in R, we can follow the below steps −First of all, create a data frame with one column.Apply t.test function with ifelse to return logical value based on 0.05 level of significance.Example1Create the data frameLet's create a data frame as shown below − Live Demox

To create a table of frequency for range of values in an R data frame column, we can follow the below steps −First of all, create a data frame.Then, use table function with cut function to create the table of frequency for range of values.Example 1Create the data frameLet's create a data frame as shown below − Live Demox

To find the row minimum excluding zero in R data frame returning 0 if all 0, we can follow the below steps −First of all, create a data frame.Then, find the row minimum by excluding zero using if function with apply function.Example1Create the data frameLet's create a data frame as shown below − Live Demox1

To perform Friedman test in R, we can follow the below steps −First of all, create a matrix.Then, use friedman.test function to perform the Friedman test.Example1Create the matrixLet's create a data matrix as shown below − Live DemoFirst

To find the maximum of each outcome of two throws of a die, we can follow the below steps −Create the outcome of two throws of a die using expand.grid function.Finding the maximum of each outcome using pmin function.Generating the outcome of two throws of a dieUse expand.grid function to create the outcomes of throwing a die two times as shown below − Live DemoM

To randomize column values of a data.table object for all columns in R, we can follow the below steps −First of all, create a data.table object.Then, use sample function with lapply to randomize the columns of the data.table object.Create the data frameLet's create a data frame as shown below −library(data.table) x

To create a clone of a data frame in R without data values, we can follow the below steps −First of all, create a data frame.Then, create the clone of the data frame by subsetting zero rows.Example 1Create the data frameLet's create a data frame as shown below − Live Demox1

To filter data frame by categorical variable in R, we can follow the below steps −Use inbuilt data sets or create a new data set and look at top few rows in the data set.Then, look at the bottom few rows in the data set.Check the data structure.Filter the data by categorical column using split function.Use inbuilt data setLet’s consider CO2 data set in base R − Live Demodata(CO2) head(CO2, 10)On executing, the above script generates the below output(this output will vary on your system due to randomization) −Grouped Data: uptake ~ conc | Plant   Plant Type Treatment conc uptake ... Read More

To find the summary by categorical variable, we can follow the below steps −Use inbuilt data sets or create a new data set.Find the summary statistics with by function.Use inbuilt data setLet’s consider mtcars data set in base R − Live Demodata(mtcars) head(mtcars, 25)On executing, the above script generates the below output(this output will vary on your system due to randomization) −                      mpg  cyl disp   hp  drat   wt   qsec vs am gear carb Mazda RX4             21.0 6   160.0 110  3.90 2.620 ... Read More