How to Calculate Autocorrelation in R
In R, you can calculate the autocorrelation using the acf() function from the tseries package. Autocorrelation measures …
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In R, you can calculate the autocorrelation using the acf() function from the tseries package. Autocorrelation measures …
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To calculate the correlation between multiple variables in R, you can use the cor() function. This function computes the …
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To calculate correlation by group in R, you can use functions from the dplyr package. This package provides functions to …
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To calculate cosine similarity in R, you can use the cosine() function from the lsa package. Cosine similarity measures …
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To calculate deciles in R, you can use the quantile() function with a sequence of probabilities for each decile. Deciles …
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To calculate descriptive statistics in R, you can use the summary() function or the describeBy() function from the psych …
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To calculate Euclidean distance in R, you can declare a function manually. Euclidean distance is a measure of the true …
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To calculate the five number summary in R, you can use the fivenum() function. This function provides the minimum, …
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To calculate Hamming distance in R, you can use the sum() function along with the inequality operator !=. Hamming …
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To calculate Minkowski distance in R, you can use the dist() function along with the method argument. Minkowski distance …
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To create a contingency table in R, there are two different ways to do it. A contingency table is a type of table in a …
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To create a correlation matrix for a data frame in R, you can use the cor() function. A correlation matrix is a table …
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To create a covariance matrix for a data frame in R, you can use the cov() function. A covariance matrix is a table that …
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To plot a graph in R, you can use the plot() function. This function allows you to create a variety of graphs to …
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To create a line chart in R, you can use the plot() function or the ggplot() function from the ggplot2 package. In this …
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To create a frequency table in R, you can use two different methods: the table() function and the dplyr package. In this …
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There are multiple methods to find outliers in R, but a common method is using the Interquartile Range (IQR). The values …
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Bivariate analysis in R involves analyzing the relationship between two variables. To perform bivariate analysis, you …
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The corrplot() function is used to plot a correlation matrix in R. This function provides a visual representation of the …
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Use the data.frame() function in R to create a data frame from vectors. The data frame in R is a two-dimensional array …
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Using the square bracket with conditional selection in the data frame, you can subset the data frame in r and extract …
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A Data frame is a primary data structure for handling tabular data sets like a spreadsheet. R Data frame is a …
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Using the write.csv function in base R, it can export a data frame to a CSV file. The write.csv function takes data …
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is.data.frame() function in R is used to check if the object is a data frame or not. is.data.frame() function in R …
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All the data frames have row names. Using the row.names() or row.names.data.frame() function in R, we can get the data …
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mean() function and colMeans() function of the R base package is used to get the mean of columns in the data frame. It …
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Data Frame in R is a two-dimensional array or table. Rows in the data frame are observations and columns in the data …
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Merge data frames are quite useful when data is available in different data stores. The combining of data frames in R …
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Using the logical condition and operator in a data frame, we can remove rows in r based on conditions. In this tutorial, …
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rowsums() function along with is.na() and ncol() is used to remove all na rows in R. filter function of dplyr is also …
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Using the negative indexing into the data frame, we can remove the first row of a data frame in R. Syntax to remove the …
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Reorder columns of a data frame in R is quite important when you want to deal with large data set and have large …
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Selecting columns from the data frame in R is very important when we have to analyze large data set. Using the dplyr …
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Using the subset() function in R, we can select rows by conditions specified in the square bracket notation for the data …
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Using the order() function in R, sort data frame by column. order() function as default sorts the data in ascending …
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subset() function in R returns the subset of the data frame which meets the condition. Subsetting data frame in R …
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Indexing in R starts at 1, which means the first element is at index 1. In R indexing data frame can be achieved using …
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The function to calculate z-score in Excel is STANDARDIZE(). This function accepts input parameters like data set, mean, …
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Yes, Z-Score can be negative. The negative z score value represents the raw score value that is either left or below the …
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In this article, we will discuss what is the critical value of z and when to use the critical value of z. We will …
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The area between two negative scores can be found by finding the area between two z-score and subtracting the small area …
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In this article, we will discuss step by step guide on how to find the area between two z scores on both sides of the …
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The normal distribution is a continuous probability distribution. The total area under the standard normal curve is …
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In this article, we will discuss step by step guide on how to find the area under the standard normal curve to the right …
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In this blog post, we will discuss how to find the z-score for having an area 0.09 to the left of the standard normal …
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Z Score for the top 5 percentile of a normal distribution is 1.645. To find the top 5th percentile of a normal …
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The Normal Cumulative Distribution Function normalcdf() is used to find percentiles from the z score on the TI-84 …
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The Inverse Normal Probability Distribution Function invNorm() is used to find z score from the percentile on TI-84 plus …
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The Inverse Normal Probability Distribution Function invNorm() is used to find the z score on TI-NSpire. invNorm(area, …
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To transform the set of raw scores into a set of z-scores in order, you will need to convert them into a standard normal …
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A negative Z score value indicates the raw score value is either left or below the mean of the standard normal …
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The one-sample proportion Z-test is a statistical tool used to conduct a hypothesis test about population …
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The one-sample Z-test is a statistical hypothesis test used to determine whether the mean of a single sample is …
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Z score allows a comparison between two scores that are from different normal distributions of raw scores to …
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Z table or the Z-score table also called the standard normal table is a mathematical table used to find the probability …
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What is a Z-Score? Z-score is the distance of the raw score value from the mean in terms of standard deviation. Raw …
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Using the $ operator or square bracket, we can add a column to a data frame. We can also create vector data and add it …
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cbind() function and data.frame() function in the base R package is used to combine two vectors in R. Vectors in R hold …
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Using the data.table package setDT() function in R, we can convert data frame to a data table. The data.table package in …
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data.matrix() and as.matrix() functions in R is used to convert a data frame to matrix. The data.matrix() function …
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Data frame in R stores heterogeneous data types in the format of tabular forms. It is a list of vectors of equal length. …
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The write_xlsx() from writexl library used to export data frame to excel file. The following method shows how you can do …
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There are multiple function are available in R to export data. The following methods show how you can do it with syntax. …
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There are multiple ways to filter rows based on condition in R data frame. The following methods show how you can do it …
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To add count column to data frame in R, you can use add_count() function from dplyr package. The following method shows …
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To calculate trimmed mean you can use mean() function with trim argument. A trimmed mean is the mean of a dataset that …
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To calculate jaccard similarity in R, you can define function for Jaccard Similarity. The Jaccard similarity index …
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To calculate percentage by group in R, you can use group_by() and mutate() function from dplyr package. The following …
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To calculate quantiles by group in R, you can use quantile() function from dplyr package. The following method shows how …
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To calculate rolling correlation in R, you can use rollapply() function from zoo package. The Rolling correlation is …
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To calculate sample and population variance in R, you can use var() function and sd() function. The following methods …
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To calculate spearman rank correlation in R, you can use cor.test() function with method argument. The following method …
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To caclulate standard error of the mean in R, you can use std.error() function from plotrix package or you can create …
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To calculate standardized regression coefficient in R, first you need to scale data using scale() function and then …
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To calculate summary statistics by group in R, you can use tapply() function or create function manually using …
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To calculate summary statistics in R, you can use two different function in R. The following methods show how you can do …
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To calculate the Z-score in R, you can use scale() function or calculate manually using mean() and sd() function. The …
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To ckeck which package version is loaded in R, you can use packageVersion() function. The following method shows how you …
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To count TRUE values in logical vector in R, you can use sum() function. The following method shows how you can do it …
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To count unique values by group in R, you can use two different function one way is group_by() and summarise() function …
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To count unique values from column of data frame in R, there are two different methods one is length() function with …
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To count the value in column with condition in R, you can use two different ways one is using nrow() function and other …
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To create a frequency table of multiple variables in R, you can use table() function and summarise() function from dplyr …
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To create a multiple line comment in R, you can use two different ways. The following methods show how you can do it …
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To create a three-way table in R, you can use ftable() function along with xtabs() function. The following method shows …
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To create two-way table in R, you can use table() function. The following method shows how you can do it with syntax. …
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To create relative frequency tables in R, you can use two different ways prop.table() function and dplyr package. The …
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To delete file in R, you can use file.remove() or unlink() function. The following methods show how you can do it with …
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To export data frame to CSV file in R, you can use write.csv() function. The following method shows how you can do it …
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To export multiple dataframes to multiple excel sheets, you can use write.xlsx() function from openxlsx library. The …
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To export list to a file in R, you can use sink() function. Using this function we can create connection with file then …
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To export multiple plots to PDF in R, you can use pdf() function and dev.off() function. The pdf() function opens a …
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To find all unique combinations of two vectors in R, you can use two different functions expand.grid() and crossing() …
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To find the P-value of correlation coefficient in R, you can use cor.test() function in R. The following method shows …
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To find the range in R, you can use two different function range() function or difference between minimum and maximum …
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To find the size of data frame in R, you can use different function depending on you requirement. The following methods …
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To find the unique values from column of dataframe, you can use unique() function. The following method shows how you …
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To group by and count with a condition in R, you can use functions from dplyr package. The following method shows how …
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To import TSV file in R, you can use read_table() or read_tsv() function from readr package. The following methods show …
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To merge two dataframes in R, you can use merge() function or *_join() function from dplyr package. The following …
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To peform element-wise multiplication in R, you can use “*” operator. The following method shows how you can …
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Exploratory Data Analysis is an essential step in understanding your dataset’s structure, relationships, and …
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To perform matrix multiplication in R, you can use %*% operator. The following method shows how you can do it with …
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Univariate analysis involves summarizing and visualizing a single variable in a dataset. This involves calculating …
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To plot equation in R, you can use curve() function or ggplot2 package. The following methods show how you can do it …
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To create pivot tables in R, you can use group_by() and summarise() function from dplyr package. The following method …
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There are two different methods in R to read specific rows from CSV file into R. The following methods show how you can …
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You can read zip files in R using unzip() function from readr package. Method: Use unzip() function library(readr) df …
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To rename files in R, you can use file.rename() function. The following method shows how you can do it with syntax. …
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To reshape data between wide and long format in R, you can use pivot_wider() and pivot_longer() function from tidyr …
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To save and load RDA files in R, yo can use save() and load() functions respectively. The following methods show how you …
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To save R output to text file, you can use sink() function or cat() function in R. The following methods show how you …
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To solve a equation in R, you can use solve() function in R. This function takes two main arguments: the coefficients of …
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To sort a dataframe in R, you can use order() or arrange() function from dplyr package. The following methods show how …
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To sort table in R there are two methods in R. The following methods show how you can do it with syntax. Method 1: Use …
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To calculate sum of specific column of dataframe you can use rowSums() function in R. The following method shows how you …
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You can transpose dataframe in R using two different methods. The following methods show how you can do it with syntax. …
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To unload the package in R, you can use unloadNamespace() function. The following method shows how you can do it with …
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The fread() function from data.table package used to read large data files in R. The following method shows how you can …
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The list.files() function in R used to list out every file in specific folder. The following methods show how you can do …
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The min() and max() function is used to find minimum and maximum values from list, data frame or vector in R. The …
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The mtext() function in R is used to write text in the margins of a plot. The following method shows how you can do it …
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The ncol function is used to get number of columns in data frame,matrix or table like structure in R. The following …
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The pivot_longer() function from tidyr package is used to pivot dataframe from wide format to a long format. The …
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The pivot_wider() function from reshape2 package is used to reshape dataframe from longer to wider format. When you want …
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The rcorr() function from Hmisc package is used to create correlation matrix in R. The following method shows how you …
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The read.delim() function in R is used to read data from a delimited text file into a data frame. The following method …
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The read.table() function used to read data from file or text into data frame. The following method shows how you can do …
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The readlines() function used to read text from a file or connection. The following method shows how you can do it with …
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The seq() function used to generate sequence of numbers with specified increment or decrement between values. The …
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The sign() function used to get sign of numeric value or numeric vector in R. It returns -1 for negative numbers, 0 for …
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The sprintf() function is used to print formatted strings in R. The following method shows how you can do it with …
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The str() function in R is used to display internal structure of an R object. The following method shows how you can do …
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There is strsplit() function in R used to split element in string with specified delimiter. The following method shows …
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The substring() function is used to extract substrings in a character vector. The following method shows how you can do …
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The sum() function used to calculate sum of a numeric vector, list or data frame. The following method shows how you can …
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The text() function is used to add text to plot in R. The following method shows how you can do it with syntax. Method …
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The cast() function from reshape2 package is used to reshape dataframes. This cast() function convert dataframe from …
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The dim() function is used to get dimension of data frame, matrix or array in R. The following method shows how you can …
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The dist() function is used to calculate distance matrix which shows distance between rows of matrix or dataframe. The …
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You can use get() function to get named objects. The following methods show how you can do it with syntax. Method 1: Use …
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The scan() function is used to read data from file in vector or list format in R. The following method shows how you can …
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In R language you can export string values or dataframes in text and CSV file. For this you can use sink() function to …
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In R you can use unlist() function for convert list to a vector. The following method shows how you can do it with …
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In R we use with() and within() function to evaluate expression based on dataframe. The following methods show how you …
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The write.table() function is used to export data to text file in R. The following method shows how you can do it with …
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Suppose you want to import CSV file and keep the spaces in the column names, you can use the check.names=FALSE argument. …
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To remove column from dataframe in R, you can use four different ways: The following methods show how you can do it with …
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The iris dataset is built-in datset in R, it has data on 150 iris flowers, with measurements for four features: sepal …
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The mtcars dataset is a built-in dataset in R that contains data on the design and performance of various car models. In …
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To add new column to data frame in R, you can use two different methods. The following methods show how you can do it …
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To check data type of each column of data frame, you can use class function or str() function. You can use class() …
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To convert numeric to character column of data frame in R, you can use as.character() function. The following method …
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You can use write.table() function to export data frame to a text file in R. The following method shows how you can do …
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To pass data frame to csv file you can use write.csv() function in R. The following method shows how you can do it with …
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You can use aggregate() function for multiple column of data frame in R.The aggregate() function is basically used …
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To calculate expected value in R, there two different ways are available in R. The following methods show how you can do …
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To calculate the interquartile range in R, you can use IQR() function.This interquartile range gives range between first …
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To calculate levenshtein distance in R, you can use stringdist() function from stringdist package.The Levenshtein …
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To calculate mahalanobis distance in R, you can use mahalanobis() function from stats package. The Mahalanobis distance …
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To calculate manhattan distance in R, you can use dist() function with method argument or create function manually. The …
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To calculate partial correlation in R, you can use pcor() function from ppcor package. The partial correlation is used …
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To calculate point-biserial correlattion in R, you can use cor.test() function. The point-biserial correlation …
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To calculate polychoric correlation in R, you can use polycor() function from polycor package. The polychoric …
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There are two different ways to calculate ratios in R. The following methods show how you can do it with syntax. Method …
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You can check if directory exists or not using dir.exist() function in R. This function takes directory path and return …
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To check if package is installed in R, you can use the installed.packages(). The following method shows how you can do …
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To check if file exists or not, you can use file.exists() function in R. The following method shows how you can do it …
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To count the number of elements in list in R, you can use length() function or length() function. The length() function …
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To count number of occurences in columns of data frame in R, you can use table() function or count() function from dplyr …
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To count number of rows in R data frame, you can use nrow() function. The following method shows how you can do it with …
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To create a pie chart in R, you can use three different ways using base R, using ggplot2 package or using plotrix …
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To create identity matrix in R, you can use diag() function. The following method shows how you can do it with syntax. …
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To export data frame to an excel file in R, you can use write_xlsx() function from writexl package. The following method …
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To find and and visualize quartile values in R, you can use quantile() function boxplot() function respectively. The …
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There are three different methods available to import CSV file in R. The following methods show how you can do it with …
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In R, you can manually enter raw data in using c() function to create vectors. The following methods shows how to do it …
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The cor() function is used to calculate correlation between two variables in R. This function returns value between -1 …
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The fwrite() function from data.table package is used to write data frame or data table in a file. The following method …
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The length() function is used to find the length of list,vector or data frame. The following method shows how you can do …
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The lines() function is used to add lines to an existing plot in R. The following method shows how you can do it with …
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The match() function used to find first position of element in a vector,list or data frame in R. The following method …
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The mean() function is used to calculate mean value of numeric vector,dataframe or list in R. The following method shows …
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The nrow() function is used to get number of rows in data frame, matrix or table like structure. The following method …
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The cat() function to concatenate or merge objects in R. The following method shows how you can do it with syntax. …
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The duplicated() function in R is used to get duplicate values in vector or data frame. The following method shows how …
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The identical() function is used compare two object and check whether they are identical or not.This function gives …
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To fnd common elements between two vector or object, you can use intersect() function in R. The following method shows …
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The melt() function from reshape package is used to convert data frame into wide format to long format in R. A long …
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The quantile() function in R used to calculate sample quantiles values from dataset.The quantile are values that divide …
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To import data from text file into R you can use read.csv() function. In this you need to pass text file path to this …
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To import excel file, you can use read_excel() function from readxl package. The following method shows how you can do …
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Boston dataset from MASS package in R is widely used in statistics and machine-learning. It contains information about …
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The diamonds dataset is built-in dataset in ggplot2 package in R. It contains information on 53,940 round-cut diamonds, …
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The c() function in R is used for combining values to vector or list. The c stands for combine or concatenate. The …
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To concatenate column values into new column in R, you can use two different function i.e. paste() function and unite() …
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To convert character to integer column in R, you can use as.integer() or as.numeric() function. The following methods …
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To create data frame in R langauge, you can use data.frame() function. The following method shows how you can do it with …
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In R, you can use the following methods to add multiple columns to a data frame in R. Method 1: Add Multiple Columns to …
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To calculate cross product in R, you can use cross() function from pracma library. The cross product is a binary …
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To calculate combination use choose() function and to calculate permutation use factorial() function in R. Combinations …
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To calculate the dot product in R, you can use three different methods. The dot product is basically multiplication of …
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To combine data frames vertically in R, you can use rbind() function or bind_rows() function from dplyr package in R. …
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To convert character to date column in R, you can use as.Date() function. The following method shows how you can use it …
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To character or string type data into numeric data you can use as.numeric() function in R. The following method shows …
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The antilog of a number is the process of finding the original value from its logarithmic representation. To find the …
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If your dataset has missing values, you can handle them by either removing or replacing them using different methods in …
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The diff() function is used to calculate difference between consecutive elements of numeric list, vector or data frame …
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The assign() function is used to assign value to variable in R. The following method in R shows how you can do it with …
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