Man pages for wangtengyao/putils
Personal Utility Functions
| blockdiag | Block diagonal matrix |
| bunch | Grouping the left hand side in multiple assignment |
| colMax | Column maximum |
| colMin | Column minimum |
| colorise | assign colours to distinct values of a vector |
| CvM.test | Cramer-von-Mise two sample test |
| dp | display decimal places nicely |
| EM | EM algorithm |
| evaluate | Evaluate multiple expressions |
| expit | Inverse of the logistic function |
| filter_data_frame | Filter data frame by condition on selected columns |
| find.first | Find the location of first TRUE value in a boolean vector |
| find.last | Find the location of final TRUE value in a boolean vector |
| grapes-equals-grapes | Multiple assignment |
| grapes-equals-grapes-.lbunch | Binary Operator |
| grapes-setminus-grapes | Set minus: remove elements of small set from large set |
| isString | Check whether input is string |
| lambertW | The Lambert W function |
| logit | The logistic function |
| match.data.frame | match rows of dataframes |
| matplotlib_palette | matplotlib_palette return the first n palette colours |
| matrix.GramSchmidt | Apply Gram Schmidt operation to a matrix |
| matrix.norm | Norm of a matrix |
| matrix.power | Compute matrix power of a symmetric matrix |
| matrix.rank | Rank of a matrix |
| matrix.standardise | Standardise the columns of a matrix to have mean zero and... |
| matrix.trace | Trace of a square matrix |
| mix_color | Color mixing |
| myplot | generate a plot from a data frame with color and line type... |
| offdiag | Extracting the off-diagonal part of A |
| powerMethod | Power method for leading eigenvectors and eigenvalues |
| prefix | Extract left substring |
| println | Print line |
| printPercentage | Print percentage |
| pseudoinverse | Compute Moore-Penrose pseudoinverse of a real rectangular... |
| putils | putils: A package for personal utility functions. |
| QL | QL decomposition of a matrix |
| QR | QR decomposition of a matrix |
| random.bernoulli | Generate n random Bernoulli variables |
| random.GaussianMatrix | Generate a Gaussian random matrix |
| random.OrthogonalMatrix | Generate a random matrix with orthonormal columns |
| random.psdMatrix | Generate a random positive semidefinite matrix with operator... |
| random.rademacher | Generate n rademacher random variables |
| random.SymmetricMatrix | Generate a random symmetric matrix |
| random.UnitVector | Generate a random unit vectors in R^n |
| random.WignerMatrix | Generate a random nxn Wigner matrix, where off diagonals are... |
| random.WishartMatrix | Generate a random nxn Wishart matrix |
| rep_along | Repeat a vector along another vector to achieve equal length |
| rowMax | Row maximum |
| rowMin | Row minimum |
| setNA | Change all NA values in v to a |
| sf | display signif nicely |
| sf_exp | display signif of exponentiated number nicely |
| show.params | Show parameter values |
| sim.params | Simulation parameter data frame generation |
| sinThetaLoss | Sine angle loss |
| snippet | Show snippet of a large vector/matrix |
| sort_data_frame | sort dataframe |
| sort.data.frame | Sort data frame by columns |
| strlen | String length |
| strstr | Substring search |
| stylise | assign line types to distinct values of a vector |
| suffix | Extract right substring |
| sweep_arithmetic | Binary operators, add/subtract/multiply/divide a vector to a... |
| vector.cleanup | Clean up floating point epsilon terms |
| vector.clip | Clipping a vector from above and below |
| vector.hard.thresh | Hard thresholding a vector |
| vector.norm | Norm of a vector |
| vector.normalise | Normalise a vector |
| vector.scramble | Randomly shuffle a vector |
| vector.soft.thresh | Soft thresholding a vector |
| visualise | Visualise a matrix X |
| write.latextable | Write Latex Table |
