| Title: | Easily Create Fully Randomized 'Moodle' Test Questions |
|---|---|
| Description: | Routines to generate fully randomized 'moodle' quizzes. It also contains 15 examples and a 'shiny' app. |
| Authors: | Wolfgang Rolke [aut, cre]
|
| Maintainer: | Wolfgang Rolke <[email protected]> |
| License: | GPL (>= 2) |
| Version: | 2.1.1 |
| Built: | 2025-03-22 03:28:35 UTC |
| Source: | https://github.com/cran/moodlequizR |
This function generates data for problems that use contingency tables
gen.cont.table.data(n, A, B, tbl = FALSE, rho)gen.cont.table.data(n, A, B, tbl = FALSE, rho)
n |
sample size |
A |
vector of values of first categorical variable |
B |
vector of values of second categorical variable |
tbl |
should output be a table |
rho |
correlation between A and B |
A matrix with two columns
gen.cont.table.data(10, c("a", "b"), 1:3, rho=0.9)gen.cont.table.data(10, c("a", "b"), 1:3, rho=0.9)
This function generates an xml file for import into moodle.
genquiz(k = 1, fun, folder, problem = 0, funname, Show = FALSE, ...)genquiz(k = 1, fun, folder, problem = 0, funname, Show = FALSE, ...)
k |
=1, how many quizzes? |
fun |
name of the R routine that makes a quiz |
folder |
where is the .R located? |
problem |
(optional) which problem should be done? |
funname |
name of quiz |
Show |
=FALSE (optional) want to see what it looks like? |
... |
further arguments passed to fun |
None
This function is a simple wrapper for genquiz. It reads file from folder and runs genquiz. The default is to then remove the quiz.
make.xml(fun, k = 1, folder, ...)make.xml(fun, k = 1, folder, ...)
fun |
(unquoted) name of function that makes a quiz, or number of a quiz |
k |
how many quizzes? |
folder |
folder were fun.R is located |
... |
further arguments passed to fun |
None
This function generates the code for a multiple choice CLOZE question
mc(options, w, which.true, pts = 1)mc(options, w, which.true, pts = 1)
options |
vector of choices |
w |
vector of weights |
which.true |
either which of the options gets 100 or a logical value TRUE=first option, False=second option |
pts |
how many points is question worth? |
a list with the elements for qmc and amc
mc(c("Yes", "No"), c(100, 0), 10)mc(c("Yes", "No"), c(100, 0), 10)
This function takes a data frame or vector and generates the html code to display it in a moodle quiz
moodle.table(x, DoRowNames = FALSE, DoBorder = FALSE, ncols = 10)moodle.table(x, DoRowNames = FALSE, DoBorder = FALSE, ncols = 10)
x |
df or vector |
DoRowNames |
print row names? |
DoBorder |
print border? |
ncols |
for vectors, how many items per row? |
A character vector with html code
moodle.table(round(rnorm(50), 1)) moodle.table(mtcars)moodle.table(round(rnorm(50), 1)) moodle.table(mtcars)
A dataset containing the info to create the xml file for example 1
moodleRexample1moodleRexample1
A list
example1
MoodlequizR Examples / 1
...
A dataset containing the info to create the xml file for example 10
moodleRexample10moodleRexample10
A list
example10
MoodlequizR Examples / 10
...
A dataset containing the info to create the xml file for example 11
moodleRexample11moodleRexample11
A list
example11
MoodlequizR Examples / 11
...
A dataset containing the info to create the xml file for example 12
moodleRexample12moodleRexample12
A list
example12
MoodlequizR Examples / 12
...
A dataset containing the info to create the xml file for example 13
moodleRexample13moodleRexample13
A list
example13
MoodlequizR Examples / 13
...
A dataset containing the info to create the xml file for example 14
moodleRexample14moodleRexample14
A list
example14
MoodlequizR Examples / 14
...
A dataset containing the info to create the xml file for example 15
moodleRexample15moodleRexample15
A list
example12
MoodlequizR Examples / 15
...
A dataset containing the info to create the xml file for example 2
moodleRexample2moodleRexample2
A list
example2
MoodlequizR Examples / 2
...
A dataset containing the info to create the xml file for example 3
moodleRexample3moodleRexample3
A list
example3
MoodlequizR Examples / 3
...
A dataset containing the info to create the xml file for example 4
moodleRexample4moodleRexample4
A list
example4
MoodlequizR Examples / 4
...
A dataset containing the info to create the xml file for example 5
moodleRexample5moodleRexample5
A list
example5
MoodlequizR Examples / 5
...
A dataset containing the info to create the xml file for example 6
moodleRexample6moodleRexample6
A list
example6
MoodlequizR Examples / 6
...
A dataset containing the info to create the xml file for example 7
moodleRexample7moodleRexample7
A list
example7
MoodlequizR Examples / 7
...
A dataset containing the info to create the xml file for example 8
moodleRexample8moodleRexample8
A list
example8
MoodlequizR Examples / 8
...
A dataset containing the info to create the xml file for example 9
moodleRexample9moodleRexample9
A list
example9
MoodlequizR Examples / 9
...
This function generates the code for a numerical CLOZE question
nm(x, w, eps, ndigits, pts = 1)nm(x, w, eps, ndigits, pts = 1)
x |
vector of values |
w |
list of weights |
eps |
vector of precision |
ndigits |
answers have to be rounded to ndigits, otherwise gives partial credit. Overrides eps |
pts |
how many points is question worth? |
a character vector with the code for a CLOZE question
nm(50) nm(c(50, 40), w=c(100, 50))nm(50) nm(c(50, 40), w=c(100, 50))
This function is used to read data from moodle into R
paste.data(sep = "", header = TRUE, is.table = FALSE)paste.data(sep = "", header = TRUE, is.table = FALSE)
sep |
symbol used for separation |
header |
does data have a header? |
is.table |
is data a table? Needed if all data is character. |
the data in the clipboard
This function creates a plot object that can be used in a moodle quiz
png64(plt)png64(plt)
plt |
some graph object |
a character vector
This function takes a matrix and generates the html code for questions and answers in a moodle quiz
qamatrix(tbl, points = 100, precision = 0, Border = 1, before, after)qamatrix(tbl, points = 100, precision = 0, Border = 1, before, after)
tbl |
a matrix |
points |
Points for correct answers |
precision |
required |
Border |
should table have a border? |
before |
text that appears before question |
after |
text that appears after question |
a list for the qmc and amc portions of genquiz
p=matrix(1:6,2,3) qamatrix(p) qamatrix(p, c(100,80), c(0,0.1))p=matrix(1:6,2,3) qamatrix(p) qamatrix(p, c(100,80), c(0,0.1))
This function generates data from a univariate or a bivariate discrete distribution
rcategorical(n, p)rcategorical(n, p)
n |
sample size |
p |
vector or matrix of values |
a vector or a matrix
p=1:3 names(p)=letters[1:3] x=rcategorical(1000, p) p=matrix(1:6, 2, 3) dimnames(p)=list(c("A","B"), letters[1:3]) x=rcategorical(1000, p)p=1:3 names(p)=letters[1:3] x=rcategorical(1000, p) p=matrix(1:6, 2, 3) dimnames(p)=list(c("A","B"), letters[1:3]) x=rcategorical(1000, p)
This function creates the code needed to make the output of selected R function appear correctly in moodle quizzes.
RtoHTML(method, x, y, n, varnames, ...)RtoHTML(method, x, y, n, varnames, ...)
method |
name of the R routine |
x |
data passed to all functions |
y |
data passed to functions t.test (two-sample) and lm |
n |
data passed to function binom.test |
varnames |
names of variables as they are shown in quiz |
... |
additional arguments passed to method |
a string
This function creates a text question for moodle in CLOZE format.
sa(txt, w = 100, caps = TRUE, pts = 1)sa(txt, w = 100, caps = TRUE, pts = 1)
txt |
character vector with possible answers |
w |
vector of weights |
caps |
keep capital letters |
pts |
points for answers |
a character vector
sa("Los Angeles") sa(c("Los Angeles", "San Francisco"), w=c(100, 80))sa("Los Angeles") sa(c("Los Angeles", "San Francisco"), w=c(100, 80))
This function runs the moodlequizR shiny app
shinymoodlequizR()shinymoodlequizR()
None