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Articles by Nizamuddin Siddiqui
Page 39 of 196
How to find the location of installed packages in R in windows operating system?
To find the location of installed packages in R in windows operating system, we can use the command mentioned below −.libPaths()This will return the location of installed packages in the first line and the program files in the second line.Use the below mentioned code to find the location of installed packages in windows operating system −.libPaths() OutputIf you execute the given snippet, it generates the following Output −[1] "C:/Users/Nizam/Documents/R/win-library/4.0" [2] "C:/Program Files/R/R-4.0.4/library"Use the below mentioned code to find the location of installed packages in windows operating system −installed.packages()[1:20, ] OutputIf you execute all the above given snippets as a single ...
Read MoreHow to make all values in an R data frame unique?
To make all values in an R data frame unique, we can use make.unique function but firstly we would need to unlist the data frame values and read them with as.character. For Example, if we have a data frame called df that contains duplicate as well as nonduplicate values then we can make all the values unique by using the below command −df[]
Read MoreHow to find the row corresponding to a nearest value in an R data frame?
To find the row corresponding to a nearest value in an R data frame, we can use which.min function after getting the absolute difference between the value and the column along with single square brackets for subsetting the row.To understand how it works, check out the examples given below.Example 1Following snippet creates a sample data frame −ID
Read MoreHow to find the frequency with subsetting in base R?
The easiest way to find the frequency is to create a table for the provided vector or data frame column and it can be done with table function. But, if the frequency needs to be found with subsetting then subset function and transform function will also be required as shown in the below examples.Example 1Following snippet creates a sample data frame −head(ChickWeight, 20)OutputThe following dataframe is created − weight Time Chick Diet 1 42 0 1 1 2 51 2 1 1 3 59 4 1 1 4 ...
Read MoreHow to remove question mark from corrplot in R?
When we have NAs present in the data frame or matrix then correlation matrix contains NA values. Now if we create the correlation matrix plot using corrplot function the Output display question marks.If we want to create the correlation matrix without question marks then we can use the na.label argument and set it to blank as shown in the below Example.ExampleFollowing snippet creates a sample matrix −M
Read MoreHow to create a block diagonal matrix using a matrix in R?
To create a block diagonal matrix using a matrix in R, we can use bdiag function of Matrix package.For Example, if we have a matrix called M and we want to create block diagonal using M 4 times by using the below command −bdiag(replicate(4,M,simplify=FALSE))Check out the Examples given below to understand how it can be done.Example 1Following snippet creates a sample matrix −M1
Read MoreHow to create a table with sub totals for every row and column in R?
The sub totals for every row and column are actually called marginal sums. Therefore, we can use addmargins function to our table to get the sub totals for every row and column.For example, if we have table called TABLE then we can add the sub totals by using the command given below −TABLE
Read MoreHow to create table of two factor columns in an R data frame?
To create table of two factor columns in an R data frame, we can use table function and with function.For Example, if we have a data frame called df that contains two factor columns say F1 and F2 then we can create table of these two columns by using the below command −with(df,table(F1,F2))Example 1Following snippet creates a sample data frame −Group
Read MoreHow to find the sample size for two sample proportion tests with given power in R?
To find the sample size for two sample proportion tests with given power, we can use the function power.prop.test where we need to at least pass the two proportions and power.By default the significance level will be taken as 0.05 and if we want to change it then sig.level argument will be used.Given below are some examples with the display of significance levels.Example 1Use the code given below to find the sample size for two sample proportion tests −power.prop.test(p1=8/20, p2=6/20, power=0.90, sig.level=0.05)OutputIf you execute the above given snippet, it generates the following Output for the two-sample comparison of proportions power ...
Read MoreHow to remove rows that have NA in R data frames stored in a list?
To remove rows that have NA in R data frames stored in a list, we can use lapply function along with na.omit function.For example, if we have a list called LIST that contains some data frames each containing few missing values then the removal of rows having missing values from these data frames can be done by using the command given below −lapply(LIST,na.omit)Check out the below given example to understand how it works.ExampleFollowing snippet creates a sample data frame −df1
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