[R-SIG-Mac] R error

Christophe Dutang dutangc at gmail.com
Wed Apr 29 10:12:17 CEST 2009


Hi,

In the log, we see you work with R 2.5.1 (which is quite old)

Try the same code with the latest version of R 2.9.0.

Christophe

Le 29 avr. 09 à 00:31, Agnieszka Rec a écrit :

> Hi,
>
> R told me to send an error report to you.  I've included the warning  
> message
> along with the code that preceded it immediately below.  I've also  
> appended
> the data set to the end of this email.
>
>> life<-read.table(file.choose(), header=TRUE, sep="\t")
>> attach(life)
>
>> par(mfrow=c(2,2))
>> plot(ln.GDP.,Life.Expect)
>>
> x.GDP=c(ln.GDP.[Country=="Botswana"],ln.GDP. 
> [Country=="Namibia"],ln.GDP.[Country=="South
> Africa"])
>> y.GDP=c(Life.Expect[Country=="Botswana"],
> Life.Expect[Country=="Namibia"],Life.Expect[Country=="South Africa"])
>> points(x.GDP,y.GDP,pch=19)
>> text(x.GDP,y.GDP,labels=c("Botswana","Namibia","SA"))
>> plot(X..Urban, Life.Expect)
>> plot(X..Agri, Life.Expect)
>> x.Agri=c(X..Agri[Country=="Botswana"],X..Agri[Country=="South  
>> Africa"],
> X..Agri[Country=="Namibia"])
>> y.Agri=c(Life.Expect[Country=="Botswana"],Life.Expect[Country=="South
> Africa"],Life.Expect[Country=="Namibia"])
>> points(x.Agri,y.Agri,pch=19)
>> text(x.Agri,y.Agri,labels=c("Botswana","SA","Namibia"))
>> plot(X..Agri,ln.GDP.)
>>
> points 
> (x.Agri,c(Life.Expect[Country=="Botswana"],Life.Expect[Country=="South
> Africa"], Life.Expect[Country=="Namibia"]),pch=19)
>> c(Life.Expect[Country=="Botswana"],Life.Expect[Country=="South  
>> Africa"],
> Life.Expect[Country=="Namibia"])
> [1] 36.3 48.4 48.3
>> x.Agri
> [1] 12.3 30.0 47.0
>> points(c(36.3, 48.4, 48.3),c(12.3 30.0 47.0),pch=19)
> Error: syntax error
>> points(c(36.3, 48.4, 48.3),c(12.3, 30.0, 47.0),pch=19)
>
> 2009-04-28 18:25:42.943 R[29101] *** Assertion failure in - 
> [RDeviceView
> lockFocus], AppKit.subproj/NSView.m:3248
> 2009-04-28 18:25:42.943 R[29101] *** REngine.runREPL: caught ObjC  
> exception
> in the main loop!
> *** Please report the following error on r-sig-mac at r-project.org  
> along with
> the full description of how to reproduce it:
> *** reason: lockFocus sent to a view whose window is deferred and  
> does not
> yet have a corresponding platform window
> *** name: NSInternalInconsistencyException, info: (null)
> *** Version: R 2.5.1 (42083) R.app R 2.5.1 GUI 1.20 (4535)/i386
> Consider saving your work soon in case this problem leads to a full  
> crash.
>
> Cheers,
> Agnieszka Rec
>
>
> Agnieszka Rec
> Center for Women in Mathematics
> Smith College 2009
>
> ------------------------------------------------------------------------------------------------------
> Data set:
> Country    ln(GDP)    Life Expect    % Urban    % Agri
>
> Albania    8.43032725839458    73.8    44    50
>
> Algeria    8.71719093322313    71.1    59    25
>
> Angola    7.7596141506969    40.8    36    85
>
> Antigua and Barbuda    9.2393164802127    73.9    37.76    11
>
> Argentina    9.40145647645163    74.5    89    1.3
>
> Armenia    8.20821938349683    71.5    67    45
>
> Australia    10.2966101374459    80.3    92    5
>
> Austria    10.3120810953188    79    68    4
>
> Azerbaijan    8.1934002319521    66.9    52    41
>
> Bahamas    9.75027809628562    69.7    89.42    5
>
> Bahrain    9.76875543933509    74.3    89.99    1
>
> Bangladesh    7.47873482556787    62.8    27    63
>
> Barbados    9.6626890659832    75    51.75    10
>
> Belgium    10.2518530686037    78.9    98    2
>
> Belize    8.84649693855884    71.9    48.38    27
>
> Bhutan    7.58528107863913    62.9    8.54    93
>
> Botswana    9.07268620667739    36.3    50    12.3
>
> Brazil    8.96059613886479    70.5    83    23
>
> Brunei Darussalam    9.8631862557626    76.4    76.12    10
>
> Bulgaria    8.95299349932047    72.2    68    26
>
> Burkina Faso    7.06817200038804    47.5    18    90
>
> Cambodia    7.63916117165917    56.2    19    80
>
> Cameroon    7.65822752616135    45.8    51    70
>
> Canada    10.3312684671277    80    79    3
>
> Chad    7.09837563859079    43.6    25    80
>
> Chile    9.23737171102721    77.9    87    14
>
> China    8.51779301148821    71.6    39    50
>
> Colombia    8.81016126829726    72.4    76    30
>
> Comoros    7.44658509915773    63.2    35.05    80
>
> Costa Rica    9.17014318222477    78.2    45    20
>
> CÙte d'Ivoire    7.29709100516042    45.9    59    68
>
> Croatia    9.31289696030128    75    76    16.8
>
> Cuba    8.1605182474775    77.3    75    24
>
> Cyprus    9.84033473753086    78.6    69.21    20.8
>
> Czech Republic    9.70241121925853    75.6    85    5
>
> Denmark    10.356631095961    77.2    67    4
>
> Dominica    8.60300384782935    75.6    72.04    40
>
> Dominican Republic    8.82805453681542    67.2    64    17
>
> Ecuador    8.20001364817543    74.3    43    30
>
> Egypt    8.28147085789517    69.8    64    29
>
> El Salvador    8.4724050086261    70.9    20    30
>
> Eritrea    6.74405918631135    53.8    70    80
>
> Estonia    9.51332968849511    71.3    17    11
>
> Ethiopia    6.56667242980324    47.6    59    80
>
> Fiji    8.67931204089267    67.8    51.7    70
>
> Finland    10.2262592206598    78.5    76    8
>
> France    10.228357022355    79.5    84    4
>
> Gabon    8.76358440945014    54.5    33    60
>
> Gambia    7.52779398772144    55.7    57    75
>
> Georgia    7.85864065562079    70.5    88    40
>
> Germany    10.2312073120194    78.7    37    2.8
>
> Ghana    7.71333788887187    56.8    61    60
>
> Greece    9.90118490347345    78.3    41    20
>
> Grenada    8.98205864280585    65.3    40.72    24
>
> Guatemala    8.33038156934942    67.3    29    50
>
> Guinea    7.64826303090192    53.7    34    80
>
> Guinea-Bissau    6.56667242980324    44.7    38    82
>
> Haiti    7.46278915741245    51.6    56    66
>
> Honduras    7.88795933659994    67.8    65    34
>
> Hong Kong, China (SAR)    10.2101998952697    81.6    100    0
>
> Hungary    9.5876803163585    72.7    28    8
>
> Iceland    10.3495506300728    80.7    92.79    5.1
>
> India    7.96970358327866    63.3    44    60
>
> Indonesia    8.11999382772511    66.8    66    45
>
> Iran, Islamic Rep. of    8.85295088709958    70.4    68    30
>
> Ireland    10.5384228233477    77.7    92    8
>
> Israel    9.90513619278165    79.7    67    2.6
>
> Italy    10.2079898682182    80.1    58    5
>
> Jamaica    8.31971738685061    70.8    79    21
>
> Japan    10.2387805226673    82    79    5
>
> Jordan    8.37101068123816    71.3    56    5
>
> Kazakhstan    8.80552505270952    63.2    36    20
>
> Kenya    6.94408720822953    47.2    61    77.5
>
> Korea, Rep. of    9.79651462653202    77    96    9.5
>
> Kyrgyzstan    7.46794233228585    66.8    21    55
>
> Lao People's Dem.  Rep.    7.47250074473756    54.7    60    80
>
> Latvia    9.2369823029226    71.6    91    15
>
> Lesotho    7.84815308619953    36.3    47    86
>
> Libyan Arab Jamahiriya    9.34136863438259    73.6    69    17
>
> Lithuania    9.36751504634818    72.3    60    20
>
> Luxembourg    11.0396846015315    78.5    91.82    1.9
>
> Macedonia, TFYR    8.82379514872053    73.8    31    22
>
> Madagascar    6.69579891705849    55.4    16    78
>
> Malawi    6.40522845803084    39.7    59    86
>
> Malaysia    9.16030943837062    73.2    32    16
>
> Maldives    8.26873183211774    66.6    28.82    22
>
> Mali    6.90173720665657    47.9    62    80
>
> Malta    9.77752742540792    78.4    91.64    5
>
> Mauritania    7.47647238116391    52.7    42    50
>
> Mauritius    9.33140689995563    72.2    75    14
>
> Mexico    9.12347443895452    75.1    42    20
>
> Moldova, Rep. of    7.31986492980897    67.7    57    40
>
> Mongolia    7.52294091807237    64    57    41.8
>
> Morocco    8.29504914043511    69.7    36    50
>
> Mozambique    7.0184017990692    41.9    29    81
>
> Namibia    8.72907355045174    48.3    13    47
>
> Nepal    7.25841215059531    61.6    90    81
>
> Netherlands    10.2877630719617    78.4    86    4
>
> New Zealand    10.0249084077405    79.1    57    10
>
> Nicaragua    8.09009578318096    69.7    22    42
>
> Niger    6.72743172485086    44.4    47    90
>
> Nigeria    6.95654544315157    43.4    76    70
>
> Norway    10.5366193006861    79.4    78    4
>
> Pakistan    7.64826303090192    63    57    42
>
> Panama    8.83258770243455    74.8    18    20.8
>
> Papua New Guinea    7.87054784450771    55.3    58    85
>
> Paraguay    8.45190772471761    71    74    45
>
> Peru    8.56788630573176    70    61    9
>
> Philippines    8.37124213593193    70.4    63    36
>
> Poland    9.33952483035701    74.3    68    16.1
>
> Portugal    9.80510265061473    77.2    76    10
>
> Qatar    9.89565697342094    72.8    92    2.3
>
> Romania    8.89247396834709    71.3    73    31.6
>
> Russian Federation    9.1302143274969    65.3    7    10.3
>
> Rwanda    7.14519613499717    43.9    88    90
>
> Saint Kitts and Nevis    9.42577428022034    70    32.22    3.5
>
> Saint Lucia    8.64979915596426    72.4    30.51    7
>
> Saint Vincent and the Grenadines    8.71980745147795    71.1     
> 58.19    26
>
> Saudi Arabia    9.48993986823461    71.8    50    12
>
> Senegal    7.40731771046942    55.7    52    77
>
> Seychelles    9.23327534325868    72.7    50.02    10
>
> Singapore    10.1056525854651    78.7    58    0
>
> Slovakia    9.51000042118737    74    49    5.8
>
> Slovenia    9.86005799460879    76.4    29    6
>
> Solomon Islands    7.46908388492123    62.3    16.52    75
>
> South Africa    9.24435525056346    48.4    78    30
>
> Spain    10.0164143713913    79.5    24    5.3
>
> Sri Lanka    8.23695004806146    74    39    38
>
> Sudan    7.55485852104068    56.4    27    80
>
> Suriname    8.3187422526924    69.1    75.98    8
>
> Sweden    10.1942897523242    80.2    68    2
>
> Switzerland    10.3271854289054    80.5    53    4.6
>
> Syrian Arab Republic    8.18200013629341    73.3    28    30
>
> Tajikistan    7.00850518208228    63.6    35    67.2
>
> Tanzania, U. Rep. of    6.43133108193348    46    20    80
>
> Thailand    8.93524541502987    70    35    49
>
> Togo    7.43602781635185    54.3    75    65
>
> Tonga    8.85252191733537    72.2    33.51    65
>
> Trinidad and Tobago    9.2841482991209    69.9    67    9.5
>
> Tunisia    8.87640491500694    73.3    67    55
>
> Turkey    8.82055174325303    68.7    45    35.9
>
> Turkmenistan    8.68912765532371    62.4    15    48.2
>
> Uganda    7.2841348061952    47.3    68    82
>
> Ukraine    8.61086566727887    66.1    88    24
>
> United Arab Emirates    10.0177086966262    78    90    7
>
> United Kingdom    10.2090218220192    78.4    78    1.5
>
> United States    10.5337481800409    77.4    93    0.7
>
> Uruguay    9.02159824737931    75.4    37    14
>
> Uzbekistan    7.46393660446893    66.5    88    44
>
> Vanuatu    7.98752447984877    68.6    22.88    65
>
> Venezuela    8.50086053679534    72.9    25    13
>
> Viet Nam    7.82003798945875    70.5    25.76    56.8
>
> Yemen    6.7900972355139    60.6    40    75
>
> Zambia    6.77650699237218    37.5    37    85
>
> Zimbabwe    7.80098207125774    36.9    34.97    66
>
> 	[[alternative HTML version deleted]]
>
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--
Christophe Dutang
Ph. D. student at ISFA, Lyon, France
website: http://dutangc.free.fr



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