pasted_table_to_df

string

n_cols

header

<p>The usual way to compare results is using tables from books. This method
accept as input a pasted String, usually copied from a LaTeX table, and
create a Data Frame. Assumes the input is separated evenly by a character,
default is an empty space.</p>

Contains functions to perform various models and
methods for test equating. It currently implements the traditional
mean, linear and equipercentile equating methods, as well as the
mean-mean, mean-sigma, Haebara and Stocking-Lord IRT linking methods.
It also supports newest methods such that local equating, kernel
equating (using Gaussian, logistic and uniform kernels) with presmoothing,
and IRT parameter linking methods based on asymmetric item characteristic
functions. Functions to obtain both standard error of equating (SEE)
and standard error of equating difference between two equating
functions (SEED) are also implemented for the kernel method of
equating.

Jorge Burgos

SNSequate

Standard and Nonstandard Statistical Models and Methods for Test
Equating

Jorge Gonzalez Burgos

Daniel Leon Acuna

pasted_table_to_df function

Transform a table from String to Data Frame. — pasted_table_to_df

Transform a table from String to Data Frame.

pasted_table_to_df: Transform a table from String to Data Frame.

Description

Usage

Arguments

Value