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To divide the row values by row median in R’s data.table object, we can follow the below steps −First of all, create a data.table object.Then, use apply function to divide the data.table object row values by row median.Create the data.table objectLet's create a data frame as shown below −> library(data.table) > x y z DT DTOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x y z 1: 5 3 2 2: 1 3 7 3: 6 0 13 4: 6 2 10 5: 8 1 9 6: 9 ... Read More
To divide the row values by row maximum excluding 0 in R’s data.table object, we can follow the below steps −First of all, create a data.table object.Then, use apply function and if else function to divide the data.table object row values by row maximum excluding 0.Create the data.table objectLet’s create a data.table object as shown below −> library(data.table) > x y z DT DTOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x y z 1: 2 0 3 2: 2 3 2 3: 0 1 3 4: 0 ... Read More
To replace zero with first non-zero occurring at the next position in an R data frame column, we can follow the below steps −First of all, create a data frame.Then, use na.locf function of zoo package to replace zero with first non-zero occurring at the next position in the data frame column.Create the data frameLet's create a data frame as shown below − Live Demo> x df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x 1 5 2 4 3 2 4 2 5 5 6 4 7 1 ... Read More
To remove scientific notation form base R plot, we can follow the below steps −First of all, create a vector and its plot using plot function.Then, use options(scipen=999) to remove scientific notation from the plot.Create the vector and plotUsing sample function to create a vector and plot the vector with plot function − Live Demo> x plot(x)OutputRemove the scientific notation from the plotUse options(scipen=999) function and again create the same plot − Live Demo> x options(scipen=999) > plot(x)Output
To merge two data frames of different length having same values in all columns but at different positions, we can follow the below steps −First of all, create two data frames.Then, merge them using merge function with all argument set to FALSE.Create the data frameLet's create a data frame as shown below − Live Demo> x y z df1 df1On executing, the above script generates the below output(this output will vary on your system due to randomization) −Output x y z 1 2 3 5 2 3 3 2 3 5 3 1 4 1 2 3 5 1 3 2 ... Read More
To display ID column values in a scatterplot created with ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot using ggplot2.After that, create the same plot with label argument inside aes and add the geom_text function.Create the data frameLet's create a data frame as shown below − Live Demo> ID x y df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − ID x y 1 1 -0.6980655 0.4815529 2 2 1.0943027 0.2476090 ... Read More
To remove rows from an R data frame based on frequency of values in grouping column, we can follow the below steps −First of all, create a data frame.Then, remove rows based on frequency of values in grouping column using filter and group_by function of dplyr package.Create the data frameLet's create a data frame as shown below − Live Demo> Group Rank df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − Group Rank 1 IV 7 2 I 8 3 IV 2 4 I ... Read More
To combine multiple R data frames that contains one common column, we can follow the below steps −First of all, create a number of data frames.Then, use join_all function from plyr package to combine the data frames.Create the data frameLet's create a data frame as shown below − Live Demo> x y1 df1 df1On executing, the above script generates the below output(this output will vary on your system due to randomization) − x y1 1 A 6 2 B 10 3 A 4 4 C 5 5 C 3 6 C 6 7 B 2 8 B 10 9 D ... Read More
To remove row that contains maximum for each column in R data frame, we can follow the below steps −First of all, create a data frame.Then, remove the rows having maximum for each column using lapply and which.max function.Create the data frameLet's create a data frame as shown below − Live Demo> x1 x2 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x1 x2 1 9 10 2 1 9 3 8 9 4 7 6 5 4 10 6 4 7 7 8 8 8 5 13 9 ... Read More
To change the order of one column data frame and get the output in data frame format in R, we can follow the below steps −First of all, create a data frame.Then, use order function to change the order of column with drop argument set to FALSECreate the data frameLet's create a data frame as shown below − Live Demo> x df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x 1 -0.13734270 2 -1.02796577 3 1.40171778 4 -0.45367796 5 0.06634050 6 -1.27974403 ... Read More