![]() ![]() The orientation of G determines whether splitapply treats the columns or rows of X as data variables. This is accomplished by linearly transforming the data into a new. If X is a matrix, splitapply treats each column or row as a separate data variable. Formally, PCA is a statistical technique for reducing the dimensionality of a dataset. If the variable names are different, you can directly assign new rows in a table to rows from another table. The elements of X belong to groups specified by the corresponding elements of G. In order to vertically concatenate two tables, both tables must have the same number of variables, with the same variable names. For 3D plotting of curves, you should use the plot3 command. Data variable, specified as a vector, matrix, or cell array. The full preprocessing was performed on MATLAB 2020a, The Mathworks Inc. Plotting based on row/column names, rather than row/column indices is harder.īy the way, plot(x,y,z) is not a valid command. Vectorized version sumValue sum(data(2:2:end)) In the following example, we remove matrix rows. matrix2D reshape (columnVector, rows columns) (The converse, how to get the column vector in the first place (what you may have done to get your. 1001 tips to speed up MATLAB programs Yair M. Plot3(i, j, data(i,j)) % Plot the data at 'c1' and 'r3' locationīut again, this is also a somewhat convoluted way of working with numerical data. If your column vector was 'composed of all the columns of the original matrix', then use the reshape () command to turn it from a column vector back into the original 2D matrix. ![]() J = find(strcmp(colNames, 'c1')) % Column index Note: Ensure that you copy the data to do this, since using the Cut command or Ctrl+X won’t work. Here’s how to do it: Select the range of data you want to rearrange, including any row or column labels, and press Ctrl+C. For example, M = ĭata = rand(3,3) % A random matrix with 3 rows and 3 columns.Īnd if you want to plot a data point given, say, 'c1' and 'r3', you could code i = find(strcmp(rowNames, 'r3')) % Row index You can convert the table to a range first, or you can use the TRANSPOSE function to rotate the rows and columns. ![]() If not, you can use cell arrays to represent row/column names, but indexing would be harder. If you have the Statistics Toolbox, you can use the dataset objects to represent data with column and row names. ![]()
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