lm function (PR#13608)
This is not a bug. You forgot to use the header=TRUE argument to read.table(), so your variables weren't recognized as numeric.
Please don't use r-bugs unless you are sure there is a bug in R. Use r-help to ask for help.
-thomas
On Wed, 18 Mar 2009 michael_karsh at earthlink.net wrote:
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
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Thomas Lumley Assoc. Professor, Biostatistics tlumley at u.washington.edu University of Washington, Seattle