15:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"assoc_data() R function from [exams.forge] | R PACKAGES"}],["$","meta","3",{"name":"description","content":"Given a frequency table, the function reorders the observations such that the given `target` association will be approximated and the marginal frequencies remain unchanged. Note that the `target` association may not be reached! `zero` allows for zero entries in the common distribution. If `target` is `NA` then the table is simply returned. `FUN` computes the association (or correlation) measure based on a frequency table. `tol` gives the maximal deviation of the association (or correlation) measure and the `target` value. `maxit` limits the number of steps. Please note that a solution is not guaranteed, especially for extreme values of `target`, for example for $+1$, $-1$ or nearby values. If `attr(joint, \"iterations\")== maxit` then you need either to increase `maxit`, to decrease `tol`, or check if you have chosen an appropriate `target` value (for a nominal measure in $0 <= target <= 1$, for ordinal measure in $-1 <= target <= +1$). `attr(joint, \"target\")` contains the achieved association."}],["$","meta","4",{"property":"og:title","content":"assoc_data() R function from [exams.forge]"}],["$","meta","5",{"property":"og:description","content":"Given a frequency table, the function reorders the observations such that the given `target` association will be approximated and the marginal frequencies remain unchanged. Note that the `target` association may not be reached! `zero` allows for zero entries in the common distribution. If `target` is `NA` then the table is simply returned. `FUN` computes the association (or correlation) measure based on a frequency table. `tol` gives the maximal deviation of the association (or correlation) measure and the `target` value. `maxit` limits the number of steps. Please note that a solution is not guaranteed, especially for extreme values of `target`, for example for $+1$, $-1$ or nearby values. If `attr(joint, \"iterations\")== maxit` then you need either to increase `maxit`, to decrease `tol`, or check if you have chosen an appropriate `target` value (for a nominal measure in $0 <= target <= 1$, for ordinal measure in $-1 <= target <= +1$). `attr(joint, \"target\")` contains the achieved association."}],["$","meta","6",{"property":"og:url","content":"https://r-packages.io/packages/exams.forge/assoc_data"}],["$","meta","7",{"property":"og:site_name","content":"R PACKAGES"}],["$","meta","8",{"property":"og:locale","content":"en_US"}],["$","meta","9",{"property":"og:image:type","content":"image/png"}],["$","meta","10",{"property":"og:image","content":"https://r-packages.io/packages/exams.forge/assoc_data/opengraph-image?6cdc95b0c38aa621"}],["$","meta","11",{"property":"og:image:width","content":"1200"}],["$","meta","12",{"property":"og:image:height","content":"630"}],["$","meta","13",{"property":"og:type","content":"website"}],["$","meta","14",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","15",{"name":"twitter:title","content":"assoc_data() R function from [exams.forge]"}],["$","meta","16",{"name":"twitter:description","content":"Given a frequency table, the function reorders the observations such that the given `target` association will be approximated and the marginal frequencies remain unchanged. Note that the `target` association may not be reached! `zero` allows for zero entries in the common distribution. If `target` is `NA` then the table is simply returned. `FUN` computes the association (or correlation) measure based on a frequency table. `tol` gives the maximal deviation of the association (or correlation) measure and the `target` value. `maxit` limits the number of steps. Please note that a solution is not guaranteed, especially for extreme values of `target`, for example for $+1$, $-1$ or nearby values. If `attr(joint, \"iterations\")== maxit` then you need either to increase `maxit`, to decrease `tol`, or check if you have chosen an appropriate `target` value (for a nominal measure in $0 <= target <= 1$, for ordinal measure in $-1 <= target <= +1$). `attr(joint, \"target\")` contains the achieved association."}],["$","meta","17",{"name":"twitter:image:type","content":"image/png"}],["$","meta","18",{"name":"twitter:image","content":"https://r-packages.io/packages/exams.forge/assoc_data/opengraph-image?6cdc95b0c38aa621"}],["$","meta","19",{"name":"twitter:image:width","content":"1200"}],["$","meta","20",{"name":"twitter:image:height","content":"630"}],["$","link","21",{"rel":"icon","href":"/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","22",{"name":"next-size-adjust"}]]

assoc_data function