--- doc/homework/homework5.html 2001/06/01 14:17:04 1.4 +++ doc/homework/homework5.html 2002/03/28 22:55:35 1.13 @@ -4,7 +4,7 @@ LON-CAPA Homework System - +

LON-CAPA Homework System

Tags

@@ -62,12 +62,26 @@ the response to go in. It checks all styles of numerical supported in CAPA. Possible args are:
  • + <stringresponse> implements a string answer, + it needs an internal <textline> for the + response to go in. It can check the string for either case + or order. + +
  • <essayresponse> implements a ungraded large text response, it need an internal <textarea> for the response to go in. @@ -108,6 +122,27 @@ value of a <foil>can only be "true" or "false" or "unused"
    • +
  • + <dataresponse> implements a straight data + storage entry idea, needs and interveing input tag like + <textline> to work correctly.
    + Arguments: + +
  • Foil Structure Tags @@ -201,6 +236,12 @@ <window> the text in between is put in a popup javascript window
    • +
  • + <m> the inside text is LaTeX, and is + converted to HTML (or MathML) on the fly, if the argument + eval is set to "on" the intervening text will have + a perl var expansion done to it before being converted. +
  • @@ -253,7 +294,9 @@
  • <randomlist> the enclosed tags are parsed in - a stable random order + a stable random order, optional argument show + restricts the number of tags indie that are actually + parsed the no more than show.
  • <solved> everything inside the tag is @@ -300,10 +343,7 @@

    <script> Functions

    A list of functions that have been written that are available in - the Safe space scripting environment inside a problem. The eventual - goal is to provide all of the functions available in CAPA. Detailed - descriptions of each function and comparison with CAPA is given in - CAPA to LON-CAPA Functions. + the Safe space scripting environment inside a problem.

    + +

    + Detailed descriptions of each function and comparison with CAPA. +

    @@ -347,14 +394,6 @@ - - - - - - - @@ -454,6 +493,13 @@ + + + + + + + + jn(m,x) where m takes the value of 0, 1 or 2. jv(y,x) is new to LON-CAPA. @@ -496,7 +542,7 @@ yv(y,x), y is real. $x can be a pure number. $m must be an integer and can be a pure integer number. $y can be a pure real number + yn(m,x) where m takes the value of 0, 1 or 2. yv(y,x) is new to LON-CAPA. @@ -519,6 +565,64 @@ + + + + + + + + + + + + + + + + + + + + + + - + @@ -626,16 +731,151 @@ - - - - - - + + + + + -
    Differences (if any)
    sin(x), cos(x), tan(x)&sin($x), &cos($x), &tan($x)Trigonometric functions where x is in radians. $x - can be a pure number, i.e., you can call &sin(3.1415) 
    sin(x), cos(x), tan(x) &sin($x), &cos($x), &tan($x)
    /DIS($x,"nn")&format($x,"nn")Display or format $x as nn where nn is nF or nE and n is an integer. The difference is obvious.
    roundto(x,n) &roundto($x,$n) Rounds a real number to n decimal points. $x and @@ -485,7 +531,7 @@ y is real. $x can be a pure number. $m must be an integer and can be a pure integer number. $y can be a pure real number In CAPA, j0, j1 and jn are contained in one function, - jn(m,x) where m takes the value of 0, 1 or 2. jv(y,x) was not implemented
    In CAPA, y0, y1 and yn are contained in one function, - yn(m,x) where m takes the value of 0, 1 or 2. yv(y,x) was not implemented
    /MAP(seed;w,x,y,z;a,b,c,d)Option 1 - &map($seed,[\$w,\$x,\$y,\$z],[$a,$b,$c,$d]) or
    + Option 2 - &map($seed,\@mappedArray,[$a,$b,$c,$d])
    + Option 3 - @mappedArray = &map($seed,[$a,$b,$c,$d])
    + Option 4 - ($w,$x,$y,$z) = &map($seed,\@a)
    + where $a='A'
    + $b='B'
    + $c='B'
    + $d='B'
    + $w, $x, $y, and $z are variables    		Assigns to the variables $w, $x, $y and $z the values of the + $a, $b, $c and $c (A, B, C and D). The precise value for $w .. depends + on the seed. (Option 1 of calling map). + In option 2, the values of $a, $b .. are mapped into the array, @mappedArray. The two + options illustrate the different grouping. Options 3 and 4 give a consistent + way (with other functions) of mapping the items. For each option, the group can + be passed as an array, for example, [$a,$b,$c,$d] => \@a.In CAPA, the arguments are divided into three groups separated + by a semicolon ;. In LON-CAPA, the separation is done by using [] brackets or + using an array @a. Note the backslash (\) before the arguments in the + second and third groups.
    rmap(seed;a,b,c,d;w,x,y,z)Option 1 - &rmap($seed,[\$w,\$x,\$y,\$z],[$a,$b,$c,$d]) or
    + Option 2 - &rmap($seed,\@rmappedArray,[$a,$b,$c,$d])
    + Option 3 - @rmapped_array = &rmap($seed,[$a,$b,$c,$d])
    + Option 4 - ($w,$x,$y,$z) = &rmap($seed,\@a)
    + where $a='A'
    + $b='B'
    + $c='B'
    + $d='B'
    + $w, $x, $y, and $z are variables    		The rmap functions does the reverse action of map if the same seed + is used in calling map and rmap. In CAPA, the arguments are divided into + three groups separated by a semicolon ;. In LON-CAPA, the + separation is done by using [] brackets (with create an + unamed vector reference) or using an array @a. Note the + backslash (\) before the arguments in the second and + third groups (Which cause Perl to send to variable + locations rather than the variable values, similar to a C + pointer).
    NOT IMPLEMENTED IN CAPA$a=&xmlparse($string) Runs the internal parser over the + argument parsing for display. Warning This will + result in different strings in different targets. Don't use + the results of this function as an answer.New to LON-CAPA
    tex(a,b), tex("a","b") &tex($a,$b), &tex("a","b") Returns a if the output mode is in tex otherwise @@ -607,7 +711,8 @@ result in array B[i] where i = 0 to 4. The contents of B are as follows: B[0] = number of elements, B[1] = mean, B[2] = variance, B[3] = skewness and B[4] = kurtosis. In CAPA, the moments are passed as an array in the first argument whereas + in LON-CAPA, the array containing the moments are set equal to the function.
    To destroy the contents of an array, use Use perl intrinsic undef function.
    random_norma(...), random_beta(...), random_gamma(...), - random_exponential(...), random_poisson(...), random_chi(...), random_noncentral(...)Not yet implemented.  
    random_normal (return_array,item_cnt,seed,av,std_dev)@return_array=&random_normal ($item_cnt,$seed,$av,$std_dev)Generate $item_cnt deviates of normal distribution of average $av and + standard deviation $std_dev. The distribution is generated from seed $seedIn CAPA the results are passed as the first argument whereas in LON-CAPA + the results are set equal to the function.
    - + + random_beta (return_array,item_cnt,seed,aa,bb) + @return_array=&random_beta ($item_cnt,$seed,$aa,$bb)
    + NOTE: Both $aa and $bb MUST be greater than 1.0E-37. + Generate $item_cnt deviates of beta distribution. + The density of beta is: + X^($aa-1) *(1-X)^($bb-1) /B($aa,$bb) for 0<X<1. + In CAPA the results are passed as the first argument whereas in LON-CAPA + the results are set equal to the function. + + + random_gamma (return_array,item_cnt,seed,a,r) + @return_array=&random_gamma ($item_cnt,$seed,$a,$r)
    + NOTE: Both $a and $r MUST be positive. + Generate $item_cnt deviates of gamma distribution. + The density of gamma is: + ($a**$r)/gamma($r) * X**($r-1) * exp(-$a*X). + In CAPA the results are passed as the first argument whereas in LON-CAPA + the results are set equal to the function. + + + random_exponential (return_array,item_cnt,seed,av) + @return_array=&random_exponential ($item_cnt,$seed,$av)
    + NOTE: $av MUST be non-negative. + Generate $item_cnt deviates of exponential distribution. + In CAPA the results are passed as the first argument whereas in LON-CAPA + the results are set equal to the function. + + + random_poisson (return_array,item_cnt,seed,mu) + @return_array=&random_poisson ($item_cnt,$seed,$mu)
    + NOTE: $mu MUST be non-negative. + Generate $item_cnt deviates of poisson distribution. + In CAPA the results are passed as the first argument whereas in LON-CAPA + the results are set equal to the function. + + + random_chi (return_array,item_cnt,seed,df) + @return_array=&random_chi ($item_cnt,$seed,$df)
    + NOTE: $df MUST be positive. + Generate $item_cnt deviates of chi_square distribution with $df + degrees of freedom. + In CAPA the results are passed as the first argument whereas in LON-CAPA + the results are set equal to the function. + + + random_noncentral_chi (return_array,item_cnt,seed,df,nonc) + @return_array=&random_noncentral_chi ($item_cnt,$seed,$df,$nonc)
    + NOTE: $df MUST be at least 1 and $nonc MUST be non-negative. + Generate $item_cnt deviates of noncentral_chi_square + distribution with $df + degrees of freedom and noncentrality parameter $nonc. + In CAPA the results are passed as the first argument whereas in LON-CAPA + the results are set equal to the function. + + + NOT IMPLEMENTED IN CAPA + @return_array=&random_f ($item_cnt,$seed,$dfn,$dfd)
    + NOTE: Both $dfn and $dfd MUST be positive. + Generate $item_cnt deviates of F (variance ratio) distribution with + degrees of freedom $dfn (numerator) and $dfd (denominator). + New to LON-CAPA + + + NOT IMPLEMENTED IN CAPA + @return_array=&random_noncentral_f ($item_cnt,$seed,$dfn,$dfd,$nonc)
    + NOTE: $dfn must be at least 1, $dfd MUST be positive, and $nonc must + be non-negative. + Generate $item_cnt deviates of noncentral F (variance ratio) + distribution with degrees of freedom $dfn (numerator) and $dfd (denominator). + $nonc is the noncentrality parameter. + New to LON-CAPA + + + NOT DOCUMENTED IN CAPA + @return_array=&random_multivariate_normal ($item_cnt,$seed,\@mean,\@covar)
    + NOTE: @mean should be of length p array of real numbers. @covar should be a length + p array of references to length p arrays of real numbers (i.e. a p by p matrix. + Generate $item_cnt deviates of multivariate_normal distribution with + mean vector @mean and variance-covariance matrix. + Note the backslash before the @mean and @covar arrays. + + + NOT IMPLEMENTED IN CAPA + @return_array=&random_multinomial ($item_cnt,$seed,@p)
    + NOTE: $item_cnt is rounded with int() and the result must be non-negative. + The number of elements in @p must be at least 2. + Returns single observation from multinomial distribution with + $item_cnt events classified into as many categories as the length of @p. + The probability of an event being classified into category i is given by + ith element of @p. The observation is an array with length equal to @p, so + when called in a scalar context it returns the length of @p. The sum of the + elements of the obervation is equal to $item_cnt. + New to LON-CAPA + + + NOT IMPLEMENTED IN CAPA + @return_array=&random_permutation ($item_cnt,@array) + Returns @array randomly permuted. + New to LON-CAPA + + + NOT IMPLEMENTED IN CAPA + @return_array=&random_uniform ($item_cnt,$seed,$low,$high)
    + NOTE: $low must be less than or equal to $high. + Generate $item_cnt deviates from a uniform distribution. + New to LON-CAPA + + + NOT IMPLEMENTED IN CAPA + @return_array=&random_uniform_integer ($item_cnt,$seed,$low,$high)
    + NOTE: $low and $high are both passed through int(). + $low must be less than or equal to $high. + Generate $item_cnt deviates from a uniform distribution in integers. + New to LON-CAPA + + + NOT IMPLEMENTED IN CAPA + @return_array=&random_binomial ($item_cnt,$seed,$nt,$p)
    + NOTE: $nt is rounded using int() and the result must be non-negative. + $p must be between 0 and 1 inclusive. + Generate $item_cnt deviates from the binomial distribution with + $nt trials and the probabilty of an event in each trial is $p. + New to LON-CAPA + + + NOT IMPLEMENTED IN CAPA + @return_array=&random_negative_binomial ($item_cnt,$seed,$ne,$p)
    + NOTE: $ne is rounded using int() and the result must be positive. + $p must be between 0 and 1 exclusive. + Generate an array of $item_cnt outcomes generated from + negative binomial distribution with + $ne events and the probabilty of an event in each trial is $p. + New to LON-CAPA + + +

    <script> Variables