Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
Articles by Nizamuddin Siddiqui
Page 40 of 196
How to create boxplot using ggplot2 without whiskers in R?
To create boxplot using ggplot2 without whiskers, we need to use coef argument inside geom_boxplot function. For example, if we have data frame called df and there exists one categorical variable x and one response variable y then the boxplots for categories without whiskers can be created by using ggplot(df,aes(x,y))+geom_boxplot(coef=0).Consider the below data frame −Examplex
Read MoreHow to display 0 at Y-axis using ggplot2 in R?
To display 0 at Y-axis, we can set the limits for Y-axis using scale_y_continuous function of ggplot2 package. For example, if we have two columns say x and y in an R data frame called df then the scatterplot with displaying 0 at Y-axis can be created by using the below commandggplot(df,aes(x,y))+geom_point()+scale_y_continuous(limits=c(0,”upperlimit”))Consider the below data frame −Examplex
Read MoreHow to check if two matrices are equal in R?
When we matrices of larger size and the data is expected to from the same distribution or from same sources then we might expect that the matrices are equal. In this type of situations, we would like to check whether the two matrices are equal or not. This can be done with the help of all.equal function as shown in the below examples.ExampleM1
Read MoreHow to sort an R data frame column without losing row names?
When we sort a data frame column in R, the row names are lost but we might need them. Therefore, sorting without losing row names is required and it can be done with the help of order function. For example, if we have a data frame called df that has a column x then sorting of x without losing row names can be done by using the below command −df[order(df$x),,drop=FALSE]Consider the below data frame −Examplex1
Read MoreHow to find the column index in an R data frame that matches a condition?
To find the column index that matches a condition, we can use apply function. This condition could be values in columns greater than something, less than something, equal to something, or any other condition for numerical variables. For example, if we want to check which columns of data df contains value in rows greater than 5 then we can use the command apply(df,1, function(x) which(x>5)).Consider the below data frame −Examplex1
Read MoreHow to extract first value from a list in R?
To extract first value from a list, we first need to access the element using double square brackets then the sub-element of each element will be accessed using single square brackets. For example, if we have a list called LIST containing five elements each having 10 elements then the first sub-element of the LIST will be selected by using LIST[[1]][1].ExampleList1
Read MoreHow to remove single quote from string column in an R data frame?
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 −Examplex1
Read MoreHow to sort matrix columns independently in increasing order in R?
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.ExampleM1
Read MoreHow to save an xtable file locally using R?
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 −Exampledata(iris) head(iris, 20)OutputSepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 ...
Read MoreHow to find the two factor interaction variables in an R data frame?
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 −Examplex1
Read More