How do I convert data from wide to long format in R?

How do I convert data from wide to long format in R?

How to Melt Data to Long Format in R

1. To convert wide data to long, you melt it with the melt() function.
2. To convert long data to wide, you cast it with the dcast() function for data frames or the acast() function for arrays.

Which function converts wide data to long data?

Common terms for this wide-to-long transformation are melt, pivot-long, unpivot, gather, stack, and reshape. Many functions have been written to convert data from wide to long form, melt() from the data. table library is the best.

How do you convert a wide table to a long table?

Excel Formula : Convert data from wide to long format

1. Insert a helper column right to column named “Project”
2. Concatenates “Name”, “Dept”, “Project” values and specify “|” delimiter between them.
3. Press ALT + D + P shortcut key.
4. Select “Multiple consolidation ranges”
5. Press Next.
6. Select “I will create the page fields”

How do you reshape a data frame?

melt() function is used to reshape a DataFrame from a wide to a long format. It is useful to get a DataFrame where one or more columns are identifier variables, and the other columns are unpivoted to the row axis leaving only two non-identifier columns named variable and value by default.

What is Dcast?

You use the dcast() function to cast a molten data frame. To be clear, you use this to convert from a long format to a wide format, but you also can use this to aggregate into intermediate formats, similar to the way a pivot table works.

What is 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.

What is long and wide format in R?

What is long data in R?

How do you reshape a series object?

you can directly use a. reshape((2,2)) to reshape a Series, but you can not reshape a pandas DataFrame directly, because there is no reshape function for pandas DataFrame, but you can do reshape on numpy ndarray: convert DataFrame to numpy ndarray.

Which function returns reshaped DataFrame?

pivot() function Return reshaped DataFrame organized by given index / column values.