I have a dataframe with individuals assigned a text id that concatenates a place-name with a personal id (see data, below). Ultimately, I need to do a transformation of the data set from \"long\" to \
Problem I want to melt a dataframe with many columns, using very little typing. The dataframes that I work with often have many columns of which IDs may be numbers, characters or factors. The IDs a
The default b开发者_JS百科ehavior of melt.data.frame is to return the \"variable\" column in \"factor\" class. Here is an example:
I have a 3D array, of which the first two dimensions are spatial, so say (x,y). The third dimension contains point-specific information.
Assuming I use Orhographic Projection, and have a reshape function like this: void reshape(f32 width, f32 height){
I often have data where I want to compare the value of one level of variable with all the other levels of variable.Each time I write code to do this I wish it were easier.Here\'s an example of the pro
I have a 48x365 element numpy array where each element is a list containing 3 integers. I want to be able to turn it into a 1x17520 array with all the lists intact as elements. Using
I have an array of iterations in an MCMC algorithm.The rows represent draws from a distribution.The columns represent parameters (variables) in the distribution.For ease of exposition:assume two varia
I have a data.frame with the columns: Month, Store and Demand. MonthStoreDemand JanA100 FebA150 MarA120 JanB200
I have data in which each participant made 3 judgments on each of 9 objects (27 judgments).The 9 objects varied in a 3x3 design (within subjects) so there are 2 factors.
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