Hi, I have a List int in java code and I need to overtake this list in R script and perform calculations based on the values from List'a, at the moment my script values are written by hand, how can I make it dynamic instead of a static script , so that the script could take different values from java? Code R:
> data=read.csv("/Users/IsaakIsbergman/Documents/viktfore_data2Update.csv") > data X75.74 1 77.99 2 89.48 3 64.87 4 80.91 5 77.45 6 85.55 7 83.35 8 79.41 9 88.28 10 61.88 11 85.56 12 80.20 13 84.97 14 70.03 15 66.64 16 91.42 17 70.43 18 56.55 19 73.35 20 66.67 21 81.75 22 81.77 23 88.47 24 69.27 25 79.61 26 42.41 27 64.96 28 62.16 29 74.18 30 82.16 31 73.60 32 89.29 33 75.41 34 83.82 35 60.15 36 59.05 37 88.93 38 80.65 39 56.61 40 69.02 41 42.31 42 105.44 43 75.74 44 50.88 45 77.99 46 64.87 47 77.45 48 83.35 49 88.28 50 85.56 51 84.97 52 66.64 53 70.43 54 73.35 55 81.75 56 88.47 57 79.61 58 64.96 59 74.18 60 78.98 61 77.02 62 86.01 63 98.53 64 88.15 65 55.93 66 170.91 67 71.59 68 80.86 69 73.12 70 57.60 71 93.90 72 110.19 73 66.28 74 56.13 75 55.96 76 87.45 77 73.64 78 66.77 79 70.98 80 143.06 81 60.12 82 65.92 83 87.82 84 89.70 85 74.44 86 89.02 87 103.04 88 90.25 89 46.97 90 77.74 91 80.94 92 84.42 93 58.15 94 65.03 95 112.27 96 79.96 97 73.37 98 78.26 99 59.46 100 84.56 101 91.05 102 89.39 103 58.09 104 64.41 105 88.69 106 63.49 107 85.86 108 60.57 109 145.15 110 74.82 111 65.22 112 74.47 113 63.20 114 62.46 115 98.01 116 86.15 117 42.39 118 97.16 119 62.65 120 81.40 121 57.61 122 103.62 123 73.66 124 68.91 125 72.76 126 71.75 127 77.08 128 93.25 129 106.08 130 87.48 131 87.83 132 61.56 133 77.19 134 50.89 135 110.63 136 80.00 137 89.14 138 82.45 139 111.84 140 70.21 141 59.72 142 87.96 143 84.15 144 89.38 145 73.51 146 58.56 147 84.20 148 71.71 149 84.20 150 79.08 151 70.97 152 75.24 153 99.67 154 81.29 155 69.78 156 80.58 > median(data) Error in median.default(data) : need numeric data > dim(data) [1] 156 1 > data[156,1] [1] 80.58 > data[1:156,1] [1] 77.99 89.48 64.87 80.91 77.45 85.55 83.35 79.41 88.28 61.88 [11] 85.56 80.20 84.97 70.03 66.64 91.42 70.43 56.55 73.35 66.67 [21] 81.75 81.77 88.47 69.27 79.61 42.41 64.96 62.16 74.18 82.16 [31] 73.60 89.29 75.41 83.82 60.15 59.05 88.93 80.65 56.61 69.02 [41] 42.31 105.44 75.74 50.88 77.99 64.87 77.45 83.35 88.28 85.56 [51] 84.97 66.64 70.43 73.35 81.75 88.47 79.61 64.96 74.18 78.98 [61] 77.02 86.01 98.53 88.15 55.93 170.91 71.59 80.86 73.12 57.60 [71] 93.90 110.19 66.28 56.13 55.96 87.45 73.64 66.77 70.98 143.06 [81] 60.12 65.92 87.82 89.70 74.44 89.02 103.04 90.25 46.97 77.74 [91] 80.94 84.42 58.15 65.03 112.27 79.96 73.37 78.26 59.46 84.56 [101] 91.05 89.39 58.09 64.41 88.69 63.49 85.86 60.57 145.15 74.82 [111] 65.22 74.47 63.20 62.46 98.01 86.15 42.39 97.16 62.65 81.40 [121] 57.61 103.62 73.66 68.91 72.76 71.75 77.08 93.25 106.08 87.48 [131] 87.83 61.56 77.19 50.89 110.63 80.00 89.14 82.45 111.84 70.21 [141] 59.72 87.96 84.15 89.38 73.51 58.56 84.20 71.71 84.20 79.08 [151] 70.97 75.24 99.67 81.29 69.78 80.58 > x=data[,1] > hist(x) > mean(x) [1] 78.18949 > median(x) [1] 77.865 > sum(x) [1] 12197.56 > 12197.56/156 [1] 78.18949 > sd(x) [1] 17.52989 > sd(x)*sd(x) [1] 307.2971 > 307.2971/156 [1] 1.969853 > 17.52989/12.48999 [1] 1.403515 > 1.403515*1.96 [1] 2.750889 > 78.18949+2.750889 [1] 80.94038 > 78.18949-2.750889 [1] 75.4386 > data=read.csv("/Users/IsaakIsbergman/Documents/vikt-efter_data2.csv") > data X71.93 1 69.48 2 64.76 3 73.12 4 73.35 5 71.14 6 85.56 7 69.53 8 66.52 9 72.05 10 66.72 11 75.11 12 66.66 13 73.96 14 76.36 15 69.28 16 73.96 17 75.47 18 78.14 19 70.67 20 74.60 21 78.70 22 88.40 23 75.49 24 85.93 25 76.14 26 66.23 27 90.85 28 72.96 29 77.61 30 73.22 31 84.21 32 67.46 33 72.10 34 79.47 35 72.29 36 68.02 37 74.66 38 81.03 39 74.09 40 61.06 41 73.60 42 82.66 43 67.37 44 71.04 45 65.04 46 75.33 47 87.47 48 76.59 49 57.85 50 73.52 51 76.97 52 90.05 53 60.48 54 81.39 55 75.65 56 86.17 57 83.48 58 74.94 59 65.19 60 75.74 61 85.84 62 88.14 63 82.22 64 85.65 65 83.77 66 78.84 67 72.59 68 76.97 69 78.21 70 66.74 71 70.82 72 104.62 73 69.60 74 64.01 75 102.63 76 73.35 77 93.42 78 76.27 79 81.34 80 79.39 81 59.20 82 52.47 83 63.66 84 62.66 85 56.57 86 77.21 87 60.14 88 48.01 89 82.61 90 69.96 91 61.39 92 69.77 93 67.38 94 88.12 95 65.50 96 74.37 97 75.30 98 81.37 99 69.88 100 69.32 101 74.77 102 57.19 103 62.61 104 78.46 105 81.80 106 75.81 107 74.92 108 72.28 109 74.60 110 76.63 111 74.35 112 77.34 113 70.88 114 75.31 115 70.76 116 74.28 117 74.40 118 70.37 119 67.99 120 75.19 121 72.73 122 80.29 123 73.53 124 74.80 125 71.81 126 72.56 127 71.07 128 69.59 129 76.65 130 73.11 131 80.28 132 75.16 133 78.82 134 71.72 > y=data[,1] > hist(y) > mean(x) [1] 78.18949 > mean(y) [1] 74.16612 > median(y) [1] 74.315 > sd(y) [1] 8.570946 > sd(y)*sd(y) [1] 73.46112 > 73.46112/134 [1] 0.5482173 > How can I overtake the list of integers from the java code in the R script and perform calculations based on these values (ie, run the script from the java code)?
