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How do I change long data to wide data in R?

How do I change long data to wide data in R?

To convert long data back into a wide format, we can use the cast function. There are many cast functions, but we will use the dcast function because it is used for data frames.

Which function reshapes long format data to wide format in R?

pivot_wider(): Reshapes a data frame from long to wide format.

How do I use the spread function in R?

To use spread() , pass it the name of a data frame, then the name of the key column in the data frame, and then the name of the value column. Pass the column names as they are; do not use quotes. To tidy table2 , you would pass spread() the key column and then the value column.

Which package has functions that can be used to take long data and make it wider and vice versa?

Motivation. Both reshape2 and tidyr are great R packages used to manipulate your data from the ‘wide’ to the ‘long’ format, or vice-versa.

How do I go from long to wide?

Reshape from long to wide in R is also achieved using spread() and cast() function.

  1. Reshape from wide to long using reshape(), gather() and melt() function.
  2. Reshape from long to wide using reshape(), spread() and dcast() function.

How do you spread data in R?

How do I tidy data?

To tidy the data, the basic approach is:

  1. Identify what the observations and variables are.
  2. Fix the dataset so the observations are in rows and variables are in columns. Typically there is one of two problems in the data. One variable might be spread across multiple columns.

What is the difference between long and wide format data?

A dataset can be written in two different formats: wide and long. A wide format contains values that do not repeat in the first column. A long format contains values that do repeat in the first column. Notice that in the wide dataset, each value in the first column is unique.

What does spread () do in R?

spread() returns a copy of your data set that has had the key and value columns removed. In their place, spread() adds a new column for each unique value of the key column. These unique values will form the column names of the new columns.

How do I mutate a data set in R?

To use mutate in R, all you need to do is call the function, specify the dataframe, and specify the name-value pair for the new variable you want to create.

What is wide and long format in R?

When there are multiple measurements of the same subject, across time or using different tools, the data is often described as being in “wide” format if there is one observation row per subject with each measurement present as a different variable and “long” format if there is one observation row per measurement (thus.

Is long or wide better?

If you are going to categorize that data in some way and add additional information then wide will usually be more efficient storage wise but long will generally be handled more efficiently.

How do I clean up big data in R?

How to clean the datasets in R?

  1. Format ugly data frame column names.
  2. Isolate duplicate records in the data frame.
  3. Provide quick tabulations.
  4. Format tabulation results.

How do you clean messy data?

How do you clean data?

  1. Step 1: Remove duplicate or irrelevant observations. Remove unwanted observations from your dataset, including duplicate observations or irrelevant observations.
  2. Step 2: Fix structural errors.
  3. Step 3: Filter unwanted outliers.
  4. Step 4: Handle missing data.
  5. Step 5: Validate and QA.

How do you transform data in R?

Data Transformation in R

  1. arrange() : to order the observations.
  2. select() : to select variables or columns.
  3. filter() : to filter observations by their values.
  4. gather() : to shift observations from columns to rows.
  5. spread() : to shift variables from rows to columns.
  6. group_by() & summarize() : to summarize data into groups.

How to reshape data in R?

Reshape in R – reshape (), is one of the efficient function to transform the data. We have discussed melting and casting in R which is another way of transforming data. Reshape from wide to long in R is also achieved using gather () and melt () function. Reshape from long to wide in R is also achieved using spread () and cast () function.

Which variables need to be converted to wide format in R?

idvar is the variable which need to be left unaltered, which is “countries” timevar are the variables that needs to converted to wide format direction is, to which format the data needs to be transformed We have reshaped our sample data from long to wide format in R

How to reshape a table from wide to long in R?

Wide to long using melt () function in R : melt () function in R gets the table name and the list of columns to be kept constant (countries) is passed as argument in order to reshape from wide to long as shown below.

How to reshape a Dataframe in Excel?

The method basically reshapes a specified dataframe between different formats, that is ‘wide’ format with repetitive measurements done in separate columns as well as ‘long’ formats with repetitive measurements in separate rows. Syntax: reshape (data-frame, idvar = , timevar = , direction = )