tservice-plugins
/
corrplot
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It is used to investigate the dependence between multiple variables at the same time and to highlight the most correlated variables in a data table.
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corrplot/resources/templates/plugin-schema.handlebars.json

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  1. {

  2.   "fields": [

  3.     {

  4.       "key": "corr_vars",

  5.       "dataIndex": "corr_vars",

  6.       "valueType": "select",

  7.       "title": "Correlation Variables",

  8.       "tooltip": "Which variables do you want to analyze?",

  9.       "valueEnum": "{{{tojson columns }}}",

  10.       "fieldProps": {

  11.         "mode": "multiple"

  12.       },

  13.       "formItemProps": {

  14.         "rules": [

  15.           {

  16.             "required": true,

  17.             "message": "Please select several variables."

  18.           }

  19.         ]

  20.       }

  21.     },

  22.     {

  23.       "key": "method",

  24.       "dataIndex": "method",

  25.       "valueType": "select",

  26.       "title": "Method",

  27.       "tooltip": "The visualization method of correlation matrix to be used. Allowed values are square (default), circle.",

  28.       "valueEnum": {

  29.         "square": {

  30.           "text": "Square"

  31.         },

  32.         "circle": {

  33.           "text": "Circle"

  34.         }

  35.       },

  36.       "formItemProps": {

  37.         "initialValue": "square"

  38.       }

  39.     },

  40.     {

  41.       "key": "corr_type",

  42.       "dataIndex": "corr_type",

  43.       "valueType": "select",

  44.       "title": "Correlation Type",

  45.       "tooltip": "full (default), lower or upper display.",

  46.       "valueEnum": {

  47.         "full": {

  48.           "text": "Full"

  49.         },

  50.         "lower": {

  51.           "text": "Lower"

  52.         },

  53.         "upper": {

  54.           "text": "Upper"

  55.         }

  56.       },

  57.       "formItemProps": {

  58.         "initialValue": "full"

  59.       }

  60.     },

  61.     {

  62.       "key": "hc_method",

  63.       "dataIndex": "hc_method",

  64.       "valueType": "select",

  65.       "title": "Cluster Method",

  66.       "tooltip": "The agglomeration method to be used in hclust (see ?hclust).",

  67.       "valueEnum": {

  68.         "ward.D": {

  69.           "text": "ward.D"

  70.         },

  71.         "ward.D2": {

  72.           "text": "ward.D2"

  73.         },

  74.         "single": {

  75.           "text": "single"

  76.         },

  77.         "complete": {

  78.           "text": "complete"

  79.         },

  80.         "average": {

  81.           "text": "average"

  82.         },

  83.         "mcquitty": {

  84.           "text": "mcquitty"

  85.         },

  86.         "median": {

  87.           "text": "median"

  88.         },

  89.         "centroid": {

  90.           "text": "centroid"

  91.         }

  92.       },

  93.       "formItemProps": {

  94.         "initialValue": "complete"

  95.       }

  96.     },

  97.     {

  98.       "key": "hc_order",

  99.       "dataIndex": "hc_order",

  100.       "valueType": "switch",

  101.       "title": "Cluster Ordered",

  102.       "tooltip": "Logical value. If TRUE, correlation matrix will be hc.ordered using hclust function.",

  103.       "formItemProps": {

  104.         "initialValue": true

  105.       }

  106.     },

  107.     {

  108.       "key": "sig_level",

  109.       "dataIndex": "sig_level",

  110.       "valueType": "switch",

  111.       "title": "Cluster Ordered",

  112.       "tooltip": "Significant level, greater than 0 and less than 1.",

  113.       "fieldProps": {

  114.         "step": 0.01

  115.       },

  116.       "formItemProps": {

  117.         "initialValue": 0.05

  118.       }

  119.     }

  120.   ],

  121.   "dataKey": {

  122.     "annoData": "Anno",

  123.     "data": "Data"

  124.   },

  125.   "examples": [

  126.     {

  127.       "title": "Example 1",

  128.       "key": "example-1",

  129.       "datafile": "",

  130.       "arguments": {

  131.         "corr_vars": [

  132.           "mpg",

  133.           "cyl",

  134.           "disp",

  135.           "hp",

  136.           "drat",

  137.           "wt",

  138.           "qsec",

  139.           "vs",

  140.           "am",

  141.           "gear",

  142.           "carb"

  143.         ],

  144.         "sig_level": 0.05,

  145.         "hc_order": true,

  146.         "hc_method": "complete",

  147.         "corr_type": "full",

  148.         "method": "square"

  149.       }

  150.     }

  151.   ]

  152. }