Package: exams.forge 1.0.10
exams.forge: Support for Compiling Examination Tasks using the 'exams' Package
The main aim is to further facilitate the creation of exercises based on the package 'exams' by Grün, 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'.
Authors:
exams.forge_1.0.10.tar.gz
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exams.forge_1.0.10.tgz(r-4.4-any)exams.forge_1.0.10.tgz(r-4.3-any)
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exams.forge.pdf |exams.forge.html✨
exams.forge/json (API)
# Install 'exams.forge' in R: |
install.packages('exams.forge', repos = c('https://sigbertklinke.r-universe.dev', 'https://cloud.r-project.org')) |
- distributions - Distributions
- skalenniveau - Skalenniveau
- sos100 - Precomputed Sum of Squared Data
- sos1000 - Precomputed Sum of Squared Data
- sos200 - Precomputed Sum of Squared Data
- sos400 - Precomputed Sum of Squared Data
- sos800 - Precomputed Sum of Squared Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:8a4fa33800. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 09 2024 |
R-4.5-win | WARNING | Oct 09 2024 |
R-4.5-linux | WARNING | Oct 09 2024 |
R-4.4-win | WARNING | Oct 09 2024 |
R-4.4-mac | WARNING | Oct 09 2024 |
R-4.3-win | WARNING | Oct 09 2024 |
R-4.3-mac | WARNING | Oct 09 2024 |
Exports:add_affixadd_answercol_defadd_bracketadd_breaksadd_cdataadd_dataadd_mathadd_tooltipaffixall_differentall_integeranswercolapply_gridapprox_binom2normapprox_clt2normapprox_equalapprox_rationalapprox_t2normas_fractionas_obsas_resas_resultas_stringas_sumas_tableas_tsassoc_databinombinom_parambinom2normbiv_discrete_probbracketbreaksbrktcalled_bycalledBycatifcc_coefcdatacdfchoice_listCImu_dataCImulen_dataCIpilen_dataclt2normcombinationcombinatoricscombocombscompute_cdfcompute_modescompute_pmdfcompute_probabilitycondition_catcont_table_fillcor_datacramer_coefcramer_vfdassocdata_ndata_n25data_nsqdata_prob2dbinomtestdbldbreaksdcimudcimulendcipilendcorrddiscreteddiscrete2ddunif2denom_25denominator_25dgroupeddhistdhistbreaksdhistwidthdhistxdigitsdistributiondivisor_25dndn25dnsizefreqdnsqdpearsondprob2dt1dtabledtsequalequationsexams2callexerciseexercise_dataextremesfactfactquotfcvtfirstmatchfractionsfreq_tablegapplygen_midgradegrouped_datagrouped_statsgsimplifyhas_digitshistbreakshistdatahistwidthhistxhloophm_cellhm_colhm_indexhm_rowhm_tablehm_titlehm_trhtml_e2mhtml_matrixhtml_matrix_skhtml_mxhu_gradehyper_paramhyperloophypothesis_latexidblin_rangeincomplete_tableineginlineint_resint_resultiposis_distributionis_probis_prob_intervalis_termis_terminalis.distributionis.probkendall_corrknit_selectknitiflatex_bracketlatex_meanlatex_pmsignlatex_problatex_productlatex_sumlatex_sumprodlatex_varlatexdeflbinomlbrlcm_vectorlcmvallfactlfactquotlfraclhypolm_regression_datalm1_datalmathlmatrixlmeanlmr_datalobslproblprodlrvlsgnlstringlsumlsumprodlvarlvecmake_keymakekeymathmchoice_moodlemcvmcvalmeanint_datameansmeans_choicemime_imagemime_imgmod_cellmod_colmod_indmod_rowmod_tmod_titlemod_trmodify_cellmodify_colmodify_indexmodify_rowmodify_tablemodify_titlemodify_trmonommonomialmoodle_m2snbinomtestnearest_argnegnom.ccnom.cramernosanitizenownsprintfnum_resnum_resultnum_solvenum2stronly_digitsord.kendallord.spearmanpdensitypdunif2pearson_datapermutationpmdfpminimumpoint_probabilitypolynomial_minimumpolynomial_probabilitypospprobpprobabilityprime_numbersprimesprint_deprobprob_mxprob_solveprob1probability_solutionprop_binomtest_dataprop_binomtest_numproptest_dataproptest_numproptestsq2normqdunif2randrand_breaksrandomrdunif2referrefer2vectorremove_affixremove_cdataremove_quotesreorder_association_datareplace_fmtrm_spell_checkrmdFormatRVround_25round_deroundedrs_corrrvsample_densitysample_size_freqscale_toschoice_desequationsimple_hloopsimplify_hyperloopslr_datasol_anssol_infosol_intsol_mcsol_mc_anssol_mc_tfsol_metasol_numsol_tfsolutionspearman_corrspellsprobsqrtnpsum_discrete_unif_cdfsum_discrete_unif_pmfsum_discrete_unif_quantilesum_discrete_unif_randsum_sqsumofsquaressumofsquares1t2normtable_datatemplateto_choiceto_mattoHTML_XMLtoHTMLorLatextoltolerancetoRMarkdowntoTabletransformifts_datats_mats_moving_averagets_trend_seasonts_tsttest_datattest_numtteststxt_knitunaffixuncdataunique_elemunique_maxunquotevalvariablesvariationvec2matwidth_breaks
Dependencies:base64encbslibcachemclicommonmarkcrayondigestevaluateexamsextraDistrfastmapfontawesomefsglueGPArotationhighrhtmltoolshunspelljquerylibjsonliteknitrlatticelifecyclemagrittrMASSmemoisemimemnormtnlmepolynompsychR6rappdirsRcpprjsonrlangrmarkdownrstudioapisassspellingstranslatestringdiststringistringrtinytexvctrsxfunxml2xtableyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
exams.forge: A brief description the package | exams.forge-package exams.forge |
Vector Data Addition | add_data |
Quote and Prefix and/or Suffix Manipulation | add_affix add_bracket add_cdata add_math affix bracket brkt cdata lmath math remove_affix remove_cdata remove_quotes unaffix uncdata unquote |
Difference Testing | all_different |
Results with Rounding | as_res as_result digits rounded tol tolerance val |
Vector to String Conversion | as_fraction as_obs as_string as_sum lfrac lobs lstring |
Conversion to Table | as_table toTable |
Time Series | as_ts |
Frequency Optimization | assoc_data dassoc reorder_association_data |
Binomial Parameters | binom_param |
Breaks | add_breaks breaks dbreaks |
Function Calling | calledBy called_by |
Condition 'cat' | catif condition_cat |
Confidence Intervals | CImu_data dcimu |
Confidence Interval and Sample Size for the Population Mean Value | CImulen_data dcimulen |
Confidence Interval and Sample Size for the Population Proportion | CIpilen_data dcipilen |
Combinatorics | binom combination combinatorics combo combs fact factquot lbinom lfact lfactquot permutation variation |
Correlation and Data Generation | cor_data dcorr |
Number of Observations | data_n data_n25 data_nsq dn dn25 dnsq |
Probability/Frequency Matrix Generation | data_prob2 dprob2 prob_mx |
Discrete Probability Function | ddiscrete |
Bivariate Discrete Probability Function | biv_discrete_prob ddiscrete2 |
Sum of Two Independent Discrete Uniform Distributions | ddunif2 pdunif2 qdunif2 rdunif2 sum_discrete_unif_cdf sum_discrete_unif_pmf sum_discrete_unif_quantile sum_discrete_unif_rand |
Class Distribution | cdf compute_cdf compute_pmdf compute_probability distribution distribution.default is.distribution is_distribution pmdf point_probability pprob print.distribution prob prob1 quantile.distribution summary.distribution toLatex.distribution |
Distributions | distributions |
Number Properties | all_integer denominator_25 denom_25 deonom_25 divisor_25 has_digits is_term is_terminal only_digits primes prime_numbers round_25 |
Conditional Value Matching | approx_equal equal |
Equations and Variables | equations variables |
Traceback for 'exams2' Functions | exams2call |
Data Exercise Structure | exercise exercise.default exercise_data |
Extremes | extremes |
Number to String Conversion (Floating Point / Fractional Number) | fcvt |
Firstmatch | firstmatch |
Fractions | approx_rational fractions |
Apply Grid | apply_grid gapply |
Grades | grade hu_grade |
Central Tendency Measures' Computation of Grouped Data | dgrouped grouped_data grouped_stats |
Simplified 'hyperloop' Object | gsimplify simple_hloop simplify_hyperloop |
Histogram Breakpoints | dhistbreaks histbreaks rand_breaks |
Histogram Data | dhist histdata mean.histogram median.histogram quantile.histogram |
Histogram Widths | dhistwidth histwidth width_breaks |
Midpoint-Based Data Creation for a Histogram | dhistx gen_mid histx |
'html_mmatrix' Modification | hm_cell hm_col hm_index hm_row hm_table hm_title hm_tr modify_cell modify_col modify_index modify_row modify_table modify_title modify_tr mod_cell mod_col mod_ind mod_row mod_t mod_title mod_tr |
HTML 'exams.forge' | html_e2m toHTML_XML |
HTML Representation | html_matrix html_matrix.default html_mx |
'html_matrix' Object Creation | html_matrix_sk lmatrix |
Parameters for Hypergeometric Distributions | hyper_param |
Hyperloop | hloop hyperloop |
Latex Hypothesis | hypothesis_latex lhypo |
Relative Contingency Table Fill | cont_table_fill incomplete_table |
Text Knitting | inline txt_knit |
Interval Checker | in_range is.prob is_prob is_prob_interval |
Knitting a Text Argument | knitif knit_select |
Exam PDF with LaTeX | add_answercol_def answercol latexdef |
Least Common Multiple | lcmval lcm_vector |
Simple Linear Regression and Data Generation | lm1_data slr_data |
'lm' Simple Linear Regression | lmr_data lm_regression_data |
Supporting Functions for Math LaTeX Output | latex_bracket latex_mean latex_pmsign latex_product latex_sum latex_sumprod latex_var lbr lmean lprod lsgn lsum lsumprod lvar lvec |
Character Key Generation | makekey make_key |
Most Common Value | compute_modes mcv mcval mcval.default mcval.histogram |
Integer Observations and Mean | meanint_data |
Means | means means_choice |
MIME Image | mime_image mime_img |
Monomial | monom monomial |
Moodle Multiple-Choice | mchoice_moodle moodle_m2s |
Nearest Candidate Value | nearest_arg |
Association and Correlation | cc_coef cramer_coef cramer_vf kendall_corr nom.cc nom.cramer ord.kendall ord.spearman rs_corr spearman_corr |
Sanitization | nosanitize |
Current Time | now |
sprintf with template depending on integer valued 'n' | nsprintf print_de round_de schoice_de |
Numeric Rounding List | int_res int_result num_res num_result |
Target Variable Value | num_solve sequation toLatex.equation_solve |
Number to String Conversion | num2str |
Density Function | pdensity sample_density |
Pearson Data | dpearson pearson_data |
Polynomial Minimum | pminimum polynomial_minimum |
Interval Ranges | dbl idbl ineg ipos neg pos |
Polynomial Probability | polynomial_probability pprobability |
print.equations | print.equations |
Print 'html_matrix' | print.html_matrix |
Total or Conditional Probability Computation | latex_prob lprob print.prob_solve probability_solution prob_solve prob_solve.default sprob toLatex.prob_solve |
Binomial Test Data Creation | dbinomtest proptest_data prop_binomtest_data |
Proportion Tests | nbinomtest proptest_num prop_binomtest_num |
Proportion Tests | proptests |
Mean and Standard Deviation for Normal Distribution | q2norm |
Random | rand random |
Generate Vector Element Names | refer refer2vector |
Replace | replace_fmt |
Random Variable | lrv rmdFormatRV rmdFormatRV, rv |
Sample Size Consistency Checker | dnsizefreq sample_size_freq |
Rescaling | scale_to |
Skalenniveau | skalenniveau |
Solutions | solution solution.default sol_ans sol_info sol_int sol_mc sol_mc_ans sol_mc_tf sol_meta sol_num sol_tf |
Precomputed Sum of Squared Data | sos100 sos1000 sos200 sos400 sos800 |
RMarkdown Spell Check | rm_spell_check spell |
Calculating Square Roots of n_p_(1-p) Combinations | sqrtnp |
Sum of Squared Integers | sumofsquares sum_sq |
sumofsquares1 | sumofsquares1 |
Approximations | approx_binom2norm approx_clt2norm approx_t2norm binom2norm clt2norm t2norm |
Frequency Table | dtable freq_table table_data |
Template | template |
Questions and Solutions List Generation | choice_list to_choice |
HTML and LaTeX Matrix Representations | toHTML.html_matrix toHTMLorLatex toLatex toLatex.html_matrix |
LaTeX Representation of a Polynomial | toLatex.polynomial |
Tooltip | add_tooltip tooltip |
toRMarkdown | toRMarkdown |
Text Representation of a Polynomial | toString.polynomial |
Transformation | transformif |
Time Series | dts ts_data |
Moving Average | ts_ma ts_moving_average |
Trend and Season Model | ts_trend_season ts_ts |
T-tests and Data Creation | dt1 ttest_data |
T-tests | ttest_num |
T-tests | ttests |
Unique Elements | unique_elem |
Unique Maximum | unique_max |
Vector to Matrix Conversion | to_mat vec2mat |