Last updated on 2024-12-18 19:49:37 CET.
| Package | NOTE | OK |
|---|---|---|
| LabourMarketAreas | 10 | 3 |
Current CRAN status: NOTE: 10, OK: 3
Version: 3.4
Check: Rd files
Result: NOTE
checkRd: (-1) StatClusterData.Rd:34: Lost braces
34 | \bold{LMA: }{ positive integer; labour market areas ID}
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checkRd: (-1) StatClusterData.Rd:36: Lost braces
36 | \bold{EMP_live: }{numeric; number of commuters who live in the area}
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checkRd: (-1) StatClusterData.Rd:38: Lost braces
38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
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checkRd: (-1) StatClusterData.Rd:40: Lost braces
40 | \bold{validity: }{numeric; validity value computed with the current parameters}
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checkRd: (-1) StatClusterData.Rd:42: Lost braces
42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
| ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
| ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
46 | \bold{Home_Work_Ratio: }{numeric; the quantity
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checkRd: (-1) StatClusterData.Rd:50: Lost braces
50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
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checkRd: (-1) StatClusterData.Rd:52: Lost braces
52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
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checkRd: (-1) StatClusterData.Rd:54: Lost braces
54 | \bold{N_com: }{integer; number of communities forming the LMA}
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checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
| ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
| ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
| ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) }
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checkRd: (-1) StatClusterData.Rd:67: Lost braces
67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
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checkRd: (-1) StatClusterData.Rd:74: Lost braces
74 | \bold{N_links: }{numeric; number of links between LMAs}
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checkRd: (-1) StatClusterData.Rd:76: Lost braces
76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
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checkRd: (-1) StatClusterData.Rd:78: Lost braces
78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
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checkRd: (-1) StatClusterData.Rd:80: Lost braces
80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
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checkRd: (-1) StatClusterData.Rd:82: Lost braces
82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
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checkRd: (-1) StatClusterData.Rd:84: Lost braces
84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
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checkRd: (-1) StatClusterData.Rd:86: Lost braces
86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
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checkRd: (-1) StatClusterData.Rd:88: Lost braces
88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
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checkRd: (-1) StatClusterData.Rd:90: Lost braces
90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
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checkRd: (-1) StatClusterData.Rd:92: Lost braces
92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
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checkRd: (-1) StatClusterData.Rd:98: Lost braces
98 | \bold{NbClusters: }{integer; number of clusters}
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checkRd: (-1) StatClusterData.Rd:100: Lost braces
100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
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checkRd: (-1) StatClusterData.Rd:102: Lost braces
102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
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checkRd: (-1) StatClusterData.Rd:104: Lost braces
104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
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checkRd: (-1) StatClusterData.Rd:106: Lost braces
106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition }
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checkRd: (-1) StatClusterData.Rd:108: Lost braces
108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
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checkRd: (-1) StatClusterData.Rd:110: Lost braces
110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
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checkRd: (-1) StatClusterData.Rd:112: Lost braces
112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment }
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checkRd: (-1) StatClusterData.Rd:114: Lost braces
114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
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checkRd: (-1) StatClusterData.Rd:116: Lost braces
116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
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checkRd: (-1) StatClusterData.Rd:118: Lost braces
118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
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checkRd: (-1) StatClusterData.Rd:120: Lost braces
120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
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checkRd: (-1) StatClusterData.Rd:122: Lost braces
122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
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checkRd: (-1) StatClusterData.Rd:124: Lost braces
124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
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checkRd: (-1) StatClusterData.Rd:126: Lost braces
126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
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checkRd: (-1) StatClusterData.Rd:128: Lost braces
128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
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checkRd: (-1) StatClusterData.Rd:130: Lost braces
130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
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checkRd: (-1) StatClusterData.Rd:132: Lost braces
132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
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checkRd: (-1) StatClusterData.Rd:134: Lost braces
134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
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checkRd: (-1) StatClusterData.Rd:136: Lost braces
136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
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checkRd: (-1) StatClusterData.Rd:138: Lost braces
138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
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checkRd: (-1) StatClusterData.Rd:140: Lost braces
140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
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checkRd: (-1) StatClusterData.Rd:142: Lost braces
142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
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checkRd: (-1) StatClusterData.Rd:144: Lost braces
144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
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checkRd: (-1) StatClusterData.Rd:146: Lost braces
146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
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checkRd: (-1) StatClusterData.Rd:148: Lost braces
148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
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checkRd: (-1) StatClusterData.Rd:150: Lost braces
150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
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checkRd: (-1) StatClusterData.Rd:152: Lost braces
152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
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checkRd: (-1) StatClusterData.Rd:154: Lost braces
154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
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checkRd: (-1) StatClusterData.Rd:156: Lost braces
156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
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checkRd: (-1) StatClusterData.Rd:158: Lost braces
158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
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checkRd: (-1) StatClusterData.Rd:160: Lost braces
160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
| ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
| ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
| ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
| ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity
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checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
171 | \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity
| ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
175 | \bold{Q_modularity: }{numeric; Q_modularity index }
| ^
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