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By default, the vector elements are printed horizontally in R environment, suppose a vector x has five values then they will be printed as 1, 2, 3, 4, 5. And if we want to print them vertically then the output will be −1 2 3 4 5The printing of these values in vertical form can be done by using the below command −cat(paste(x),sep="")Example Live Demox1
The regression line starting from origin means that the intercept of the model is dropped from the regression model. To plot the regression line starting from origin, we can use the formula by subtracting 1 in geom_smooth function of ggplot2 package.Consider the below data frame −Example Live Demox
To extract only factor column names from an R data frame, we can use names function with Filter by selecting only factor columns using as.factor. For example, if we have a data frame called df that contains some factor columns then the extraction of names of these factor columns can be done by using names(Filter(is.factor,df)).Consider the below data frame −Example Live Demox1
To display a line in segment of a plot, we can use geom_segment function of ggplot2 package where we need to pass the initial and the ending values for both the axes. For example, if we have data frame called df that contains x and y then a scatterplot with a line segment can be created by using the below command −ggplot(df,aes(x,y))+geom_point()+ geom_segment(aes(x=xstart,xend=xlast,y=ystart,yend=ylast))Consider the below data frame −Example Live Demox
If we have a data frame called df that contains four columns say x, y, z, and a then the two factor interaction columns will be xy, xz, xa, yz, ya, za. To find how many two factor interaction variables can be created using data frame columns, we can make use of combn function as shown in the below examples.Consider the below data frame −Example Live Demox1
Sometimes missing values are being read as 0 which is not a correct way to represent them, therefore, we must convert the 0’s in the data to NA so that R can understand the difference between missing value and 0’s. For this replacement, we can use lapply function and apply the replacement for all matrices using a function as shown in the below examples.Example Live DemoM1
To save an xtable file locally, obviously we first need to create the xtable and then use the print function for saving the file. Therefore, we require xtable package loaded in R environment and the data set that we want to save as an xtable file. In the below example, we have used iris data in base R for this purpose. Take a look at the example to understand how it works.Loading xtable package −library(xtable)Considering iris data −Example Live Demodata(iris) head(iris, 20)OutputSepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 ... Read More
To sort a matrix column independently in increasing order means that ordering each column of the data frame in increasing order, therefore, sorting of values in one column does not affect the sorting in other columns. This can be done with the help of apply function along with the sort function as shown in the below examples.Example Live DemoM1
When we create a plot in R, the Y-axis labels are automatically generated and if we want to remove those labels, the plot function can help us. For this purpose, we need to set ylab argument of plot function to blank as ylab="" and yaxt="n" to remove the axis title. This is a method of base R only, not with ggplot2 package.Examplex
Sometimes column values in an R data frame have single quote associated with them and to perform the analysis we need to remove that quote. Therefore, to remove single quote from string column, we can use gsub function by defining the single quote and replacing it with blank(not space) as shown in the below examples.Consider the below data frame −Example Live Demox1