• using R version 4.5.0 beta (2025-03-29 r88069)
  • using platform: aarch64-apple-darwin20
  • R was compiled by     Apple clang version 14.0.0 (clang-1400.0.29.202)     GNU Fortran (GCC) 14.2.0
  • running under: macOS Ventura 13.4
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  • checking for file ‘LabourMarketAreas/DESCRIPTION’ ... OK
  • checking extension type ... Package
  • this is package ‘LabourMarketAreas’ version ‘3.4’
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  • checking whether package ‘LabourMarketAreas’ can be installed ... [13s/16s] OK See the install log for details.
  • checking installed package size ... OK
  • checking package directory ... OK
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  • checking DESCRIPTION meta-information ... OK
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  • checking dependencies in R code ... OK
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  • checking R code for possible problems ... [10s/11s] OK
  • checking Rd files ... [0s/0s] NOTE checkRd: (-1) StatClusterData.Rd:34: Lost braces     34 | \bold{LMA: }{ positive integer; labour market areas ID}        | ^ checkRd: (-1) StatClusterData.Rd:36: Lost braces     36 | \bold{EMP_live: }{numeric; number of commuters who live in the area}        | ^ checkRd: (-1) StatClusterData.Rd:38: Lost braces     38 | \bold{EMP_work: }{numeric; number of commuters working in the area}        | ^ checkRd: (-1) StatClusterData.Rd:40: Lost braces     40 | \bold{validity: }{numeric; validity value computed with the current parameters}        | ^ 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        | ^ checkRd: (-1) StatClusterData.Rd:50: Lost braces     50 | \bold{SC_demand_side: }{numeric; demand side self-containment}        | ^ checkRd: (-1) StatClusterData.Rd:52: Lost braces     52 | \bold{SC_supply_side: }{numeric; supply side self-containment}        | ^ checkRd: (-1) StatClusterData.Rd:54: Lost braces     54 | \bold{N_com: }{integer; number of communities forming the LMA}        | ^ 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) }        | ^ 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)}        | ^ checkRd: (-1) StatClusterData.Rd:74: Lost braces     74 | \bold{N_links: }{numeric; number of links between LMAs}        | ^ checkRd: (-1) StatClusterData.Rd:76: Lost braces     76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}        | ^ checkRd: (-1) StatClusterData.Rd:78: Lost braces     78 | \bold{summFlows: }{numeric vector; summary statistics on flows}        | ^ checkRd: (-1) StatClusterData.Rd:80: Lost braces     80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}        | ^ checkRd: (-1) StatClusterData.Rd:82: Lost braces     82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}        | ^ checkRd: (-1) StatClusterData.Rd:84: Lost braces     84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}        | ^ 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}        | ^ 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}        | ^ 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}        | ^ 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}        | ^ checkRd: (-1) StatClusterData.Rd:98: Lost braces     98 | \bold{NbClusters: }{integer; number of clusters}        | ^ checkRd: (-1) StatClusterData.Rd:100: Lost braces    100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}        | ^ checkRd: (-1) StatClusterData.Rd:102: Lost braces    102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}        | ^ checkRd: (-1) StatClusterData.Rd:104: Lost braces    104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }        | ^ 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 }        | ^ checkRd: (-1) StatClusterData.Rd:108: Lost braces    108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }        | ^ 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 }        | ^ checkRd: (-1) StatClusterData.Rd:112: Lost braces    112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment }        | ^ checkRd: (-1) StatClusterData.Rd:114: Lost braces    114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }        | ^ checkRd: (-1) StatClusterData.Rd:116: Lost braces    116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}        | ^ checkRd: (-1) StatClusterData.Rd:118: Lost braces    118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }        | ^ checkRd: (-1) StatClusterData.Rd:120: Lost braces    120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }        | ^ checkRd: (-1) StatClusterData.Rd:122: Lost braces    122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}        | ^ checkRd: (-1) StatClusterData.Rd:124: Lost braces    124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }        | ^ checkRd: (-1) StatClusterData.Rd:126: Lost braces    126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }        | ^ checkRd: (-1) StatClusterData.Rd:128: Lost braces    128 | \bold{Q2.EMP_live: }{numeric; median of the residents}        | ^ checkRd: (-1) StatClusterData.Rd:130: Lost braces    130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }        | ^ checkRd: (-1) StatClusterData.Rd:132: Lost braces    132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }        | ^ checkRd: (-1) StatClusterData.Rd:134: Lost braces    134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }        | ^ checkRd: (-1) StatClusterData.Rd:136: Lost braces    136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }        | ^ checkRd: (-1) StatClusterData.Rd:138: Lost braces    138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }        | ^ checkRd: (-1) StatClusterData.Rd:140: Lost braces    140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }        | ^ checkRd: (-1) StatClusterData.Rd:142: Lost braces    142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}        | ^ checkRd: (-1) StatClusterData.Rd:144: Lost braces    144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }        | ^ checkRd: (-1) StatClusterData.Rd:146: Lost braces    146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }        | ^ checkRd: (-1) StatClusterData.Rd:148: Lost braces    148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }        | ^ checkRd: (-1) StatClusterData.Rd:150: Lost braces    150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }        | ^ checkRd: (-1) StatClusterData.Rd:152: Lost braces    152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }        | ^ 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}        | ^ 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}        | ^ 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 }        | ^ 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        | ^ 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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  • checking PDF version of manual ... [4s/4s] OK
  • DONE Status: 1 NOTE
  • using check arguments '--no-clean-on-error '