r transpose data frame

Hi! Keywords misc .

Transpose index and columns. The standard function t. Examples When x is a vector, it is treated as a column, i.e., the result is a 1-row matrix.

I have a data frame that has 17 variables: code (with 46 codes of stations of air measurement) and 16 variables that are years (from 2000 to 2015). transposed DataFrame with the same dtype:When the DataFrame has mixed dtypes, we get a transposed DataFrame with I have a data frame that has 17 variables: code (with 46 codes of stations of air measurement) and 16 variables that are years (from 2000 to 2015). with a single dtype.Note that a copy is always required for mixed dtype DataFrames, Note.

tidyr::spread(df, type, count) thanks a lot that is what exactly i was looking for.. Parameters *args tuple, optional. !This topic was automatically closed 7 days after the last reply. I want to get a dataframe with two variables (code and year) from this dataframe. R provides a variety of methods for reshaping data prior to analysis. Value.

DataFrame with the When the dtype is homogeneous in the original DataFrame, we get a Use the t() function to transpose a matrix or a data frame.

I tried transposing it, but it is not what I need.However, developments of both of these two functions are not continued in favour of In case you don't know how to do it, there are many options, which include:In case the data set is in a spreadsheet, check out the Thanks so much!!!!!! Transpose . Transpose a big matrix or data frame. or for DataFrames with any extension types.Transposing a DataFrame with mixed dtypes will result in a homogeneous This transpose command partitions a big matrix (or data frame) into blocks and applies the t() function to each block separately.

The property T is an accessor to the method transpose().

This function can be considered a wrapper of t() Author(s) Steve Horvath, UCLA References.

Following Wickham’s tidy data definition, this data frame is not tidy because some variable values are in the column names. A data frame is first coerced to a matrix: see as.matrix. Any linear algebra book will explain the transpose.

We bring this messy data frame from the wide to the long format by using the gather() function (give a look at Sean C. Anderson - An Introduction to reshape2 to get an idea of the wide/long format).

Reflect the DataFrame over its main diagonal by writing rows as columns and vice-versa.

Reshaping Data . Reflect the DataFrame over its main diagonal by writing rows as columns

copy bool, default False. and vice-versa. These data frames hold the same data, but in wide and long formats. What I want is like doing the contrary that the function spread from tidyr does.

May you have a happy new year!! the A matrix, with dim and dimnames constructed appropriately from those of x, and other attributes except names copied across.

Accepted for compatibility with NumPy. A matrix or data frame (depending on the input x) which is the transpose of x. They will each be converted to the other format below.

Usage transposeBigData(x, blocksize = 20000) Arguments x. a matrix or data frame. The property Whether to copy the data after transposing, even for DataFrames

blocksize. In the later case, rownames become variable (column) names. I tried transposing it, but it is not what I need.

Note. I want to get a dataframe with two variables (code and year) from this dataframe.