[Rd] lm function (PR#13608)

michael_karsh at earthlink.net michael_karsh at earthlink.net
Wed Mar 18 08:15:08 CET 2009


Full_Name: Michael Aaron Karsh
Version: 2.8.0
OS: Windows XP
Submission from: (NULL) (75.61.109.172)


I tried using the lm function to regress the third column listed below on the
second column listed below.  It gave me an error message.  My code is below.

> HDISWLSdata=read.table("RHDISWLS.txt")
> HDISWLSdata
                           V1  V2   V3
1                     DENMARK .82 .949
2                 SWITZERLAND .82 .955
3                     AUSTRIA .78 .948
4                     ICELAND .78 .968
5                     BAHAMAS .77 .845
6                     FINLAND .77 .952
7                      SWEDEN .77 .956
8                      BHUTAN .76 .579
9            BRUNEIDARUSSALAM .76 .894
10                     CANADA .76 .961
11                    IRELAND .76 .959
12                 LUXEMBOURG .76 .944
13                  COSTARICA .75 .846
14                      MALTA .75 .878
15                NETHERLANDS .75 .953
16          ANTIGUAANDBARBUDA .74 .815
17                   MALAYSIA .74 .811
18                 NEWZEALAND .74 .943
19                     NORWAY .74 .968
20                 SEYCHELLES .74 .843
21            STKITTSANDNEVIS .74 .821
22                        UAE .74 .868
23                        USA .74 .951
24                    VANUATU .74 .674
25                  VENEZUELA .74 .792
26                  AUSTRALIA .73 .962
27                   BARBADOS .73 .892
28                    BELGIUM .73 .946
29                   DOMINICA .73 .798
30                       OMAN .73 .814
31                SAUDIARABIA .73 .812
32                   SURINAME .73 .774
33                    BAHRAIN .72 .866
34                   COLUMBIA .72 .791
35                    GERMANY .72 .935
36                     GUYANA .72  .75
37                   HONDURAS .72   .7
38                     KUWAIT .72 .891
39                     PANAMA .72 .812
40  STVINCENTANDTHEGRENADINES .72 .761
41              UNITEDKINGDOM .71 .946
42          DOMINICANREPUBLIC  .7 .779
43                  GUATEMALA  .7 .689
44                    JAMAICA  .7 .736
45                      QATAR  .7 .875
46                      SPAIN  .7 .949
47                    STLUCIA  .7 .795
48                     BELIZE .69 .778
49                     CYPRUS .69 .903
50                      ITALY .69 .941
51                     MEXICO .69 .829
52                  SINGAPORE .69 .922
53             SOLOMONISLANDS .69 .602
54          TRINIDADANDTOBAGO .69 .814
55                  ARGENTINA .68 .869
56                       FIJI .67 .762
57                     ISRAEL .67 .932
58                   MONGOLIA .67   .7
59         SAOTOMEANDPRINCIPE .67 .654
60                 ELSALVADOR .66 .735
61                     FRANCE .66 .952
62                   HONGKONG .66 .937
63                  INDONESIA .66 .728
64                 KYRGYZSTAN .66 .696
65                   MALDIVES .66 .741
66                   SLOVENIA .66 .917
67                     TAIWAN .66 .925
68                  EASTTIMOR .66 .514
69                      TONGA .66 .819
70                      CHILE .65 .867
71                    GRENADA .65 .777
72                  MAURITIUS .65 .804
73                    NAMIBIA .65  .65
74                   PARAGUAY .65 .755
75                   THAILAND .65 .781
76              CZECHREPUBLIC .64 .891
77                PHILIPPINES .64 .771
78                    TUNISIA .64 .766
79                 UZBEKISTAN .64 .702
80                     BRAZIL .63   .8
81                      CHINA .63 .777
82                       CUBA .63 .838
83                     GREECE .63 .926
84                  NICARAGUA .63  .71
85             PAPUANEWGUINEA .63  .53
86                    URUGUAY .63 .852
87                      GABON .62 .677
88                      GHANA .62 .553
89                      JAPAN .62 .953
90                      YEMEN .62 .508
91                   PORTUGAL .61 .897
92                   SRILANKA .61 .743
93                 TAJIKISTAN .61 .673
94                    VIETNAM .61 .733
95                       IRAN  .6 .759
96                    COMOROS .59 .561
97                    CROATIA .59  .85
98                     POLAND .59  .87
99                  CAPEVERDE .58 .736
100                KAZAKHSTAN .58 .794
101                MADAGASCAR .58 .533
102                SOUTHKOREA .58 .921
103                BANGLADESH .57 .547
104                     CONGO .57 .548
105                    GAMBIA .57 .502
106                   HUNGARY .57 .874
107                     LIBYA .57 .818
108               SOUTHAFRICA .57 .674
109                  CAMBODIA .56 .598
110                   ECUADOR .56 .772
111                     KENYA .56 .521
112                   LEBANON .56 .772
113                   MOROCCO .56 .646
114                      PERU .56 .773
115                   SENEGAL .56 .499
116                   BOLIVIA .55 .695
117                     HAITI .55 .529
118                     NEPAL .55 .534
119                   NIGERIA .55  .47
120                  TANZANIA .55 .467
121                     BENIN .54 .437
122                  BOTSWANA .54 .654
123              GUINEABISSAU .54 .374
124                     INDIA .54 .619
125                      LAOS .54 .601
126                MOZAMBIQUE .54 .384
127                 PALESTINE .54 .731
128                  SLOVAKIA .54 .863
129                     BURMA .53 .583
130                      MALI .53  .38
131                MAURITANIA .53  .55
132                    TURKEY .53 .775
133                   ALGERIA .52 .733
134          EQUATORIALGUINEA .52 .642
135                   ROMANIA .52 .813
136     BOSNIAANDHERZEGOVENIA .51 .803
137                  CAMEROON .51 .532
138                   ESTONIA .51  .86
139                    GUINEA .51 .456
140                    JORDAN .51 .773
141                     SYRIA .51 .724
142               SIERRALEONE  .5 .336
143                AZERBAIJAN .49 .746
144    CENTRALAFRICANREPUBLIC .49 .384
145                 MACEDONIA .49 .801
146                      TOGO .49 .512
147                    ZAMBIA .49 .434
148                    ANGOLA .48 .446
149                  DJIBOUTI .48 .516
150                     EGYPT .48 .708
151               BURKINAFASO .47  .37
152                  ETHIOPIA .47 .406
153                    LATVIA .47 .855
154                 LITHUANIA .47 .862
155                    UGANDA .47 .505
156                   ALBANIA .46 .801
157                    MALAWI .46 .437
158                      CHAD .45 .388
159                IVORYCOAST .45 .432
160                     NIGER .45 .374
161                   ERITREA .44 .483
162                    RWANDA .44 .452
163                  BULGARIA .43 .824
164                   LESOTHO .43 .549
165                  PAKISTAN .43 .551
166                    RUSSIA .43 .802
167                 SWAZILAND .42 .547
168                   GEORGIA .41 .745
169                   BELARUS  .4 .804
170              TURKMENISTAN  .4 .713
171                   ARMENIA .37 .775
172                     SUDAN .36 .526
173                   UKRAINE .36 .788
174                   MOLDOVA .35 .708
175                     ZAIRE .33 .411
176                  ZIMBABWE .33 .513
177                   BURUNDI  .3     
178                               .413
> country <- HDISWLSdata[,1]
> SWLS <- HDISWLSdata[,2]
> HDI <- HDISWLSdata[,2]
> HDI <- HDISWLSdata[,3]
> country
  [1] DENMARK                   SWITZERLAND               AUSTRIA               
   ICELAND                  
  [5] BAHAMAS                   FINLAND                   SWEDEN                
   BHUTAN                   
  [9] BRUNEIDARUSSALAM          CANADA                    IRELAND               
   LUXEMBOURG               
 [13] COSTARICA                 MALTA                     NETHERLANDS           
   ANTIGUAANDBARBUDA        
 [17] MALAYSIA                  NEWZEALAND                NORWAY                
   SEYCHELLES               
 [21] STKITTSANDNEVIS           UAE                       USA                   
   VANUATU                  
 [25] VENEZUELA                 AUSTRALIA                 BARBADOS              
   BELGIUM                  
 [29] DOMINICA                  OMAN                      SAUDIARABIA           
   SURINAME                 
 [33] BAHRAIN                   COLUMBIA                  GERMANY               
   GUYANA                   
 [37] HONDURAS                  KUWAIT                    PANAMA                
   STVINCENTANDTHEGRENADINES
 [41] UNITEDKINGDOM             DOMINICANREPUBLIC         GUATEMALA             
   JAMAICA                  
 [45] QATAR                     SPAIN                     STLUCIA               
   BELIZE                   
 [49] CYPRUS                    ITALY                     MEXICO                
   SINGAPORE                
 [53] SOLOMONISLANDS            TRINIDADANDTOBAGO         ARGENTINA             
   FIJI                     
 [57] ISRAEL                    MONGOLIA                  SAOTOMEANDPRINCIPE    
   ELSALVADOR               
 [61] FRANCE                    HONGKONG                  INDONESIA             
   KYRGYZSTAN               
 [65] MALDIVES                  SLOVENIA                  TAIWAN                
   EASTTIMOR                
 [69] TONGA                     CHILE                     GRENADA               
   MAURITIUS                
 [73] NAMIBIA                   PARAGUAY                  THAILAND              
   CZECHREPUBLIC            
 [77] PHILIPPINES               TUNISIA                   UZBEKISTAN            
   BRAZIL                   
 [81] CHINA                     CUBA                      GREECE                
   NICARAGUA                
 [85] PAPUANEWGUINEA            URUGUAY                   GABON                 
   GHANA                    
 [89] JAPAN                     YEMEN                     PORTUGAL              
   SRILANKA                 
 [93] TAJIKISTAN                VIETNAM                   IRAN                  
   COMOROS                  
 [97] CROATIA                   POLAND                    CAPEVERDE             
   KAZAKHSTAN               
[101] MADAGASCAR                SOUTHKOREA                BANGLADESH            
   CONGO                    
[105] GAMBIA                    HUNGARY                   LIBYA                 
   SOUTHAFRICA              
[109] CAMBODIA                  ECUADOR                   KENYA                 
   LEBANON                  
[113] MOROCCO                   PERU                      SENEGAL               
   BOLIVIA                  
[117] HAITI                     NEPAL                     NIGERIA               
   TANZANIA                 
[121] BENIN                     BOTSWANA                  GUINEABISSAU          
   INDIA                    
[125] LAOS                      MOZAMBIQUE                PALESTINE             
   SLOVAKIA                 
[129] BURMA                     MALI                      MAURITANIA            
   TURKEY                   
[133] ALGERIA                   EQUATORIALGUINEA          ROMANIA               
   BOSNIAANDHERZEGOVENIA    
[137] CAMEROON                  ESTONIA                   GUINEA                
   JORDAN                   
[141] SYRIA                     SIERRALEONE               AZERBAIJAN            
   CENTRALAFRICANREPUBLIC   
[145] MACEDONIA                 TOGO                      ZAMBIA                
   ANGOLA                   
[149] DJIBOUTI                  EGYPT                     BURKINAFASO           
   ETHIOPIA                 
[153] LATVIA                    LITHUANIA                 UGANDA                
   ALBANIA                  
[157] MALAWI                    CHAD                      IVORYCOAST            
   NIGER                    
[161] ERITREA                   RWANDA                    BULGARIA              
   LESOTHO                  
[165] PAKISTAN                  RUSSIA                    SWAZILAND             
   GEORGIA                  
[169] BELARUS                   TURKMENISTAN              ARMENIA               
   SUDAN                    
[173] UKRAINE                   MOLDOVA                   ZAIRE                 
   ZIMBABWE                 
[177] BURUNDI                                            
178 Levels:   ALBANIA ALGERIA ANGOLA ANTIGUAANDBARBUDA ARGENTINA ARMENIA
AUSTRALIA AUSTRIA AZERBAIJAN BAHAMAS ... ZIMBABWE
> SWLS
  [1] .82 .82 .78 .78 .77 .77 .77 .76 .76 .76 .76 .76 .75 .75 .75 .74 .74 .74
.74 .74 .74 .74 .74 .74 .74 .73 .73 .73 .73
 [30] .73 .73 .73 .72 .72 .72 .72 .72 .72 .72 .72 .71 .7  .7  .7  .7  .7  .7 
.69 .69 .69 .69 .69 .69 .69 .68 .67 .67 .67
 [59] .67 .66 .66 .66 .66 .66 .66 .66 .66 .66 .66 .65 .65 .65 .65 .65 .65 .64
.64 .64 .64 .63 .63 .63 .63 .63 .63 .63 .62
 [88] .62 .62 .62 .61 .61 .61 .61 .6  .59 .59 .59 .58 .58 .58 .58 .57 .57 .57
.57 .57 .57 .56 .56 .56 .56 .56 .56 .56 .55
[117] .55 .55 .55 .55 .54 .54 .54 .54 .54 .54 .54 .54 .53 .53 .53 .53 .52 .52
.52 .51 .51 .51 .51 .51 .51 .5  .49 .49 .49
[146] .49 .49 .48 .48 .48 .47 .47 .47 .47 .47 .46 .46 .45 .45 .45 .44 .44 .43
.43 .43 .43 .42 .41 .4  .4  .37 .36 .36 .35
[175] .33 .33 .3     
46 Levels:   .3 .33 .35 .36 .37 .4 .41 .42 .43 .44 .45 .46 .47 .48 .49 .5 .51
.52 .53 .54 .55 .56 .57 .58 .59 .6 ... .82
> HDI
  [1] .949 .955 .948 .968 .845 .952 .956 .579 .894 .961 .959 .944 .846 .878 .953
.815 .811 .943 .968 .843 .821 .868 .951
 [24] .674 .792 .962 .892 .946 .798 .814 .812 .774 .866 .791 .935 .75  .7   .891
.812 .761 .946 .779 .689 .736 .875 .949
 [47] .795 .778 .903 .941 .829 .922 .602 .814 .869 .762 .932 .7   .654 .735 .952
.937 .728 .696 .741 .917 .925 .514 .819
 [70] .867 .777 .804 .65  .755 .781 .891 .771 .766 .702 .8   .777 .838 .926 .71 
.53  .852 .677 .553 .953 .508 .897 .743
 [93] .673 .733 .759 .561 .85  .87  .736 .794 .533 .921 .547 .548 .502 .874 .818
.674 .598 .772 .521 .772 .646 .773 .499
[116] .695 .529 .534 .47  .467 .437 .654 .374 .619 .601 .384 .731 .863 .583 .38 
.55  .775 .733 .642 .813 .803 .532 .86 
[139] .456 .773 .724 .336 .746 .384 .801 .512 .434 .446 .516 .708 .37  .406 .855
.862 .505 .801 .437 .388 .432 .374 .483
[162] .452 .824 .549 .551 .802 .547 .745 .804 .713 .775 .526 .788 .708 .411 .513
     .413
154 Levels:   .336 .37 .374 .38 .384 .388 .406 .411 .413 .432 .434 .437 .446
.452 .456 .467 .47 .483 .499 .502 ... .968
> lm(SWLS ~ HDI)
Error in storage.mode(y) <- "double" : 
  invalid to change the storage mode of a factor
In addition: Warning message:
In model.response(mf, "numeric") :
  using type="numeric" with a factor response will be ignored



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