exams.forge1.0.10 package

Support for Compiling Examination Tasks using the 'exams' Package

mime_image

MIME Image

monomial

Monomial

toRMarkdown

toRMarkdown

as_result

Results with Rounding

add_data

Vector Data Addition

affix

Quote and Prefix and/or Suffix Manipulation

all_different

Difference Testing

approx

Approximations

as_string

Vector to String Conversion

as_table

Conversion to Table

as_ts

Time Series

assoc_data

Frequency Optimization

assoc

Association and Correlation

binom_param

Binomial Parameters

breaks

Breaks

calledBy

Function Calling

catif

Condition cat

CImu_data

Confidence Intervals

CImulen_data

Confidence Interval and Sample Size for the Population Mean Value

CIpilen_data

Confidence Interval and Sample Size for the Population Proportion

Combinatorics

Combinatorics

cor_data

Correlation and Data Generation

data_n

Number of Observations

data_prob2

Probability/Frequency Matrix Generation

ddiscrete

Discrete Probability Function

ddiscrete2

Bivariate Discrete Probability Function

Distribution

Class Distribution

dunif2

Sum of Two Independent Discrete Uniform Distributions

equal

Conditional Value Matching

equations

Equations and Variables

exams.forge-package

exams.forge: A brief description the package

exams2call

Traceback for exams2 Functions

exercise

Data Exercise Structure

extremes

Extremes

gsimplify

Simplified hyperloop Object

fcvt

Number to String Conversion (Floating Point / Fractional Number)

firstmatch

Firstmatch

fractions

Fractions

gapply

Apply Grid

grade

Grades

grouped_data

Central Tendency Measures' Computation of Grouped Data

histbreaks

Histogram Breakpoints

histdata

Histogram Data

histwidth

Histogram Widths

histx

Midpoint-Based Data Creation for a Histogram

hm_cell

html_mmatrix Modification

lcmval

Least Common Multiple

html_e2m

HTML exams.forge

html_matrix_sk

html_matrix Object Creation

html_matrix

HTML Representation

hyper_param

Parameters for Hypergeometric Distributions

hyperloop

Hyperloop

hypothesis_latex

Latex Hypothesis

incomplete_table

Relative Contingency Table Fill

inline

Text Knitting

IntervalRanges

Interval Ranges

is.prob

Interval Checker

knitif

Knitting a Text Argument

latex_helper

Supporting Functions for Math LaTeX Output

latexdef

Exam PDF with LaTeX

lm1_data

Simple Linear Regression and Data Generation

lmr_data

lm Simple Linear Regression

makekey

Character Key Generation

mcval

Most Common Value

meanint_data

Integer Observations and Mean

means_choice

Means

moodle_m2s

Moodle Multiple-Choice

nearest_arg

Nearest Candidate Value

nosanitize

Sanitization

now

Current Time

nsprintf

sprintf with template depending on integer valued n

num_result

Numeric Rounding List

num_solve

Target Variable Value

num2str

Number to String Conversion

NumberProperties

Number Properties

pdensity

Density Function

pearson_data

Pearson Data

pminimum

Polynomial Minimum

pprobability

Polynomial Probability

print.equations

print.equations

print

Print html_matrix

prob_solve

Total or Conditional Probability Computation

proptest_data

Binomial Test Data Creation

proptest_num

Proportion Tests

proptests

Proportion Tests

q2norm

Mean and Standard Deviation for Normal Distribution

random

Random

refer

Generate Vector Element Names

replace_fmt

Replace

rv

Random Variable

sample_size_freq

Sample Size Consistency Checker

scale_to

Rescaling

solution

Solutions

spell

RMarkdown Spell Check

sqrtnp

Calculating Square Roots of np(1-p) Combinations

sumofsquares

Sum of Squared Integers

sumofsquares1

sumofsquares1

table_data

Frequency Table

template

Template

to_choice

Questions and Solutions List Generation

toHTML

HTML and LaTeX Matrix Representations

toLatex.polynomial

LaTeX Representation of a Polynomial

tooltip

Tooltip

toString.polynomial

Text Representation of a Polynomial

transformif

Transformation

ts_data

Time Series

ts_moving_average

Moving Average

ts_trend_season

Trend and Season Model

ttest_data

T-tests and Data Creation

ttest_num

T-tests

ttests

T-tests

unique_elem

Unique Elements

unique_max

Unique Maximum

vec2mat

Vector to Matrix Conversion

The main aim is to further facilitate the creation of exercises based on the package 'exams' by GrĂ¼n, B., and Zeileis, A. (2009) <doi:10.18637/jss.v029.i10>. Creating effective student exercises involves challenges such as creating appropriate data sets and ensuring access to intermediate values for accurate explanation of solutions. The functionality includes the generation of univariate and bivariate data including simple time series, functions for theoretical distributions and their approximation, statistical and mathematical calculations for tasks in basic statistics courses as well as general tasks such as string manipulation, LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.

  • Maintainer: Sigbert Klinke
  • License: GPL-3
  • Last published: 2024-07-10