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 84 of 196
How to put space between words that start with uppercase letter in string vector in R?
To put space between words that start with uppercase letter in string vector in R, we can use gsub function. Since we can have uppercase letters as well as lowercase letters in the string vector hence, we need to properly specify both type of characters for creating the space between words. Check out the below examples to understand how it works.Example Live Demox1
Read MoreHow to truncate a string vector after a character in R?
The most difficult problem in data analysis is cleaning a dirty data. Most of the times the data is available in dirty form and one such dirtiness is a string vector having unnecessary values after a particular character. Therefore, to truncate a string vector after a character we can use str_split from stringr package along with the sapply function as shown in the below examples.library(stringr)Example Live Demox1
Read MoreHow to display Y-axis with Euro sign using ggplot2 in R?
When we have a Euro currency column in an R data frame as a response variable then we might to display the Euro sign in the plot created by using ggplot2 package. For this purpose, we can use scales package and the scale for Y axis will be changed by using the command scale_y_continuous(labels=dollar_format(suffix="€",prefix="")) to the plot command.Consider the below data frame −Example Live Demox
Read MoreHow to create a sequence increasing by 1 in R?
If a sequence is increasing by 1 that means for every value the total number of values increases by that much. For example, the values 1 1 2 1 2 3 1 2 3 4 1 2 3 4 5 are creating a sequence of values starting from 1 to 5. To create such type of sequences in R, we can simply use sequence function and pass the range as sequence(1:5).Example Live Demox1
Read MoreHow to sort a large number of csv files in ascending order in R?
To sort a large number of csv files in ascending order, we can use mixedsort function from gtools package. For example, if we have a list of csv files that are randomly arranged in a vector called FILES then the files can be sorted in ascending order using the command mixedsort(sort(FILES))Example Live DemoFiles1
Read MoreHow to sort a column of data.table object in ascending order using column name stored in a vector in R?
Sorting a column of data.table object can be done easily with column number but sorting with column name is different. If a column name is stored in a vector and we want to sort a column of data.table object in ascending order using this name then order function will be used with single and double square brackets as shown in the below examples.Loading data.table package and creating a data.table object −Examplelibrary(data.table) x1
Read MoreHow to extract the closest value to a certain value in each category in an R data frame?
In Data Analysis, we often deal with the comparison of values and this comparison could be also done after finding the closest value to a certain value that might be threshold. For this purpose, we can use filter function of dplyr package along with abs and min function, the abs and min function are required to create the formula for finding the closest value.Consider the below data frame −Example Live DemoCategory
Read MoreHow to perform shapiro test for all columns in an R data frame?
The shapiro test is used to test for the normality of variables and the null hypothesis for this test is the variable is normally distributed. If we have numerical columns in an R data frame then we might to check the normality of all the variables. This can be done with the help of apply function and shapiro.test as shown in the below example.Example Live DemoConsider the below data frame −set.seed(321) x1
Read MoreHow to access the table values in R?
Sometimes we want to extract table values, especially in cases when we have a big table. This helps us to understand the frequency for a particular item in the table. To access the table values, we can use single square brackets. For example, if we have a table called TABLE then the first element of the table can accessed by using TABLE[1].Example1 Live Demox1
Read MoreHow to create a boxplot using ggplot2 for single variable without X-axis labels in R?
The important part of a boxplot is Y−axis because it helps to understand the variability in the data and hence, we can remove X−axis labels if we know the data description. To create a boxplot using ggplot2 for single variable without X−axis labels, we can use theme function and set the X−axis labels to blank as shown in the below example.Example Live DemoConsider the below data frame −y
Read More