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If integer vector is read as strings and we want to find the position of the minimum value in that vector then we need to use as.numeric along with the vector to read it as a numeric vector then use which function for finding the position of the minimum value. For example, if we have a vector x that contains first ten integers as strings then to find the position of the minimum we can use which(as.numeric(x)==min(as.numeric(x))).

x1<−c("1","2","3","4") which(as.numeric(x1)==min(as.numeric(x1))) [1] 1

x2<−sample(c("18","22","13","14","25","8","17"),120,replace=TRUE) x2 [1] "17" "25" "25" "8" "8" "25" "22" "18" "14" "17" "17" "13" "13" "18" "17" [16] "25" "8" "14" "17" "25" "22" "13" "18" "18" "22" "18" "25" "18" "17" "22" [31] "18" "18" "14" "17" "8" "22" "17" "25" "13" "14" "18" "18" "8" "17" "14" [46] "14" "8" "22" "8" "14" "18" "25" "14" "18" "18" "18" "14" "25" "18" "13" [61] "18" "22" "25" "13" "22" "14" "14" "17" "8" "17" "18" "18" "22" "17" "18" [76] "13" "18" "13" "25" "18" "8" "22" "8" "17" "13" "22" "22" "14" "25" "8" [91] "18" "17" "13" "8" "14" "17" "13" "13" "14" "14" "13" "14" "8" "17" "8" [106] "17" "22" "25" "25" "8" "8" "22" "13" "18" "18" "25" "8" "8" "17" "17" which(as.numeric(x2)==min(as.numeric(x2))) [1] 4 5 17 35 43 47 49 69 81 83 90 94 103 105 110 111 117 118

x3<−sample(c("118","322","413","214","125","418","317","247","258","320"),120,replace=TRUE) x3 [1] "320" "317" "118" "418" "413" "413" "214" "247" "247" "317" "258" "258" [13] "247" "317" "247" "214" "125" "125" "413" "247" "320" "320" "258" "214" [25] "322" "125" "320" "118" "125" "317" "322" "322" "320" "317" "118" "322" [37] "320" "247" "418" "214" "258" "418" "322" "317" "258" "118" "247" "118" [49] "320" "258" "247" "320" "258" "118" "418" "413" "214" "247" "418" "413" [61] "214" "320" "320" "118" "214" "413" "418" "418" "317" "320" "118" "247" [73] "247" "214" "125" "317" "214" "247" "322" "413" "125" "322" "125" "258" [85] "418" "320" "317" "258" "214" "320" "118" "413" "317" "418" "118" "320" [97] "247" "317" "317" "413" "247" "320" "413" "317" "413" "320" "320" "258" [109] "322" "413" "320" "214" "247" "214" "125" "320" "317" "118" "125" "322" which(as.numeric(x3)==min(as.numeric(x3))) [1] 3 28 35 46 48 54 64 71 91 95 118

x4<−sample(c("518","309","213","235","325","328","317","247","358","420","299","500"),120,replace=TRUE) x4 [1] "420" "328" "247" "500" "500" "358" "317" "500" "317" "235" "358" "317" [13] "317" "247" "235" "247" "299" "358" "518" "213" "325" "299" "317" "309" [25] "235" "299" "317" "518" "247" "309" "328" "317" "500" "358" "328" "299" [37] "309" "358" "235" "420" "325" "328" "299" "500" "299" "317" "328" "309" [49] "299" "420" "247" "235" "358" "235" "358" "500" "518" "328" "325" "420" [61] "309" "213" "328" "420" "213" "213" "518" "317" "299" "213" "235" "309" [73] "420" "299" "358" "213" "325" "325" "420" "235" "358" "500" "500" "328" [85] "247" "213" "309" "420" "213" "518" "328" "420" "420" "500" "213" "358" [97] "518" "213" "358" "247" "235" "299" "247" "500" "309" "317" "420" "420" [109] "317" "213" "500" "420" "309" "500" "309" "309" "213" "328" "213" "518" which(as.numeric(x4)==min(as.numeric(x4))) [1] 20 62 65 66 70 76 86 89 95 98 110 117 119

x5<−sample(c("5112","2542","3241","3211","4125","2568","3742","2784","4269","3627"),120,replace=TRUE) x5 [1] "3211" "4125" "2784" "5112" "3211" "3742" "4269" "2542" "3742" "2568" [11] "2568" "2568" "2784" "2784" "3742" "3742" "2542" "5112" "2542" "5112" [21] "5112" "3211" "3627" "4125" "3742" "5112" "2542" "2568" "2542" "3742" [31] "3211" "2542" "2568" "3241" "4125" "3211" "3742" "2568" "3742" "4125" [41] "3241" "3211" "3241" "4269" "4269" "2784" "2784" "3627" "2568" "2542" [51] "2542" "2784" "2542" "2568" "2542" "4125" "2542" "2568" "3627" "5112" [61] "2784" "2568" "4125" "2568" "4125" "3211" "2568" "2784" "3627" "2784" [71] "3742" "5112" "2568" "2542" "4125" "5112" "4125" "3211" "4269" "3742" [81] "3627" "2568" "2784" "5112" "2784" "3211" "3627" "2542" "3627" "4269" [91] "3742" "2542" "2542" "4269" "3211" "2784" "3742" "2568" "3627" "3742" [101] "3742" "4125" "2784" "2784" "4125" "3742" "3627" "3627" "3241" "4125" [111] "4125" "2784" "5112" "2542" "3627" "5112" "3241" "3742" "2568" "2784" which(as.numeric(x5)==min(as.numeric(x5))) [1] 8 17 19 27 29 32 50 51 53 55 57 74 88 92 93 114

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