Read in the data
# testdata is just preliminary data from my work
data <- read.csv("testdata.csv",header=TRUE,sep=",")
data <- data.frame(data)
data
## X File.found.in...wav. Theme Phrase Unit.initial.name Unit.code
## 1 2021 PAN-07Feb2021-0001 NA NA 1 21312
## 2 2021 PAN-07Feb2021-0001 NA NA 2 21312
## 3 2021 PAN-07Feb2021-0001 NA NA 3 21212
## 4 2021 PAN-07Feb2021-0001 NA NA 4 31212
## 5 2021 PAN-07Feb2021-0001 NA NA 5 31212
## 6 2021 PAN-07Feb2021-0001 NA NA 6 21212
## 7 2021 PAN-07Feb2021-0001 NA NA 7 21312
## 8 2021 PAN-07Feb2021-0001 NA NA 8 21311
## 9 2021 PAN-07Feb2021-0001 NA NA 9 21311
## 10 2021 PAN-07Feb2021-0001 NA NA 10 21311
## 11 2021 PAN-07Feb2021-0001 NA NA 11 21211
## 12 2021 PAN-07Feb2021-0001 NA NA 12 21211
## 13 2021 PAN-07Feb2021-0001 NA NA 13 21311
## 14 2021 PAN-07Feb2021-0001 NA NA 14 21212
## 15 2021 PAN-07Feb2021-0001 NA NA 15 41212
## 16 2021 PAN-07Feb2021-0001 NA NA 16 21211
## 17 2021 PAN-07Feb2021-0001 NA NA 17 21211
## 18 2021 PAN-07Feb2021-0001 NA NA 18 21211
## 19 2021 PAN-07Feb2021-0001 NA NA 19 41311
## 20 2021 PAN-07Feb2021-0001 NA NA 20 21311
## 21 2021 PAN-07Feb2021-0001 NA NA 21 21311
## 22 2021 PAN-07Feb2021-0001 NA NA 22 21311
## 23 2021 PAN-07Feb2021-0001 NA NA 23 41312
## 24 2021 PAN-07Feb2021-0001 NA NA 24 21312
## 25 2021 PAN-07Feb2021-0001 NA NA 25 21311
## 26 2021 PAN-07Feb2021-0001 NA NA 26 21311
## 27 2021 PAN-07Feb2021-0001 NA NA 27 21311
## 28 2021 PAN-07Feb2021-0001 NA NA 28 21311
## 29 2021 PAN-07Feb2021-0001 NA NA 29 21311
## 30 2021 PAN-07Feb2021-0001 NA NA 30 71213
## 31 2021 PAN-09FEB2021_0013 NA NA 1 11213
## 32 2021 PAN-09FEB2021_0013 NA NA 2 11213
## 33 2021 PAN-09FEB2021_0013 NA NA 3 11213
## 34 2021 PAN-09FEB2021_0013 NA NA 4 11113
## 35 2022 Secas_08Mar2022_ZOOM0036 NA NA 1 71321
## 36 2022 Secas_08Mar2022_ZOOM0036 NA NA 2 41221
## 37 2022 Secas_08Mar2022_ZOOM0036 NA NA 3 41221
## 38 2022 Secas_08Mar2022_ZOOM0036 NA NA 4 71221
## 39 2023 PAN-005 July 31 2023 NA NA 1 31213
## 40 2023 PAN-005 July 31 2023 NA NA 2 71211
## 41 2023 PAN-005 July 31 2023 NA NA 3 11221
## 42 2023 PAN-005 July 31 2023 NA NA 4 71211
## 43 2023 PAN-005 July 31 2023 NA NA 5 61311
## 44 2023 PAN-005 July 31 2023 NA NA 6 12221
## 45 2023 PAN-005 July 31 2023 NA NA 7 41211
## 46 2023 PAN-005 July 31 2023 NA NA 8 11221
## 47 2023 PAN-005 July 31 2023 NA NA 9 31211
## 48 2023 PAN-005 July 31 2023 NA NA 10 71211
## 49 2023 PAN-005 July 31 2023 NA NA 11 71211
## 50 2023 PAN-005 July 31 2023 NA NA 12 41221
## 51 2023 PAN-005 July 31 2023 NA NA 13 31211
## 52 2023 PAN-005 July 31 2023 NA NA 14 31211
## 53 2023 PAN-005 July 31 2023 NA NA 15 61211
## 54 2023 PAN-005 July 31 2023 NA NA 16 NA
## 55 2023 PAN-005 July 31 2023 NA NA 17 62211
## 56 2023 PAN-005 July 31 2023 NA NA 18 71211
## 57 2023 PAN-005 July 31 2023 NA NA 19 71211
## 58 2023 PAN-005 July 31 2023 NA NA 20 31211
## 59 2023 PAN-005 July 31 2023 NA NA 21 31211
## 60 2023 PAN-005 July 31 2023 NA NA 22 31211
## 61 2023 PAN-005 July 31 2023 NA NA 23 31211
## 62 2023 PAN-005 July 31 2023 NA NA 24 11211
## 63 2023 PAN-005 July 31 2023 NA NA 25 11211
## 64 2023 PAN-005 July 31 2023 NA NA 26 31211
## 65 2023 PAN-005 July 31 2023 NA NA 27 11211
## 66 2023 PAN-005 July 31 2023 NA NA 28 11211
## 67 2023 PAN-005 July 31 2023 NA NA 29 71211
## 68 2023 PAN-005 July 31 2023 NA NA 30 71211
## 69 NA NA NA NA NA
## 70 2023 PAN-005 July 31 2023 NA NA 32 11311
## 71 2023 PAN-005 July 31 2023 NA NA 33 11211
## 72 2023 PAN-005 July 31 2023 NA NA 34 11211
## 73 2023 PAN-005 July 31 2023 NA NA 35 12211
## 74 2023 PAN-005 July 31 2023 NA NA 36 11211
## 75 2023 PAN-005 July 31 2023 NA NA 37 31211
## 76 2023 PAN-005 July 31 2023 NA NA 38 11212
## 77 2023 PAN-005 July 31 2023 NA NA 39 11211
## 78 2023 PAN-005 July 31 2023 NA NA 40 NA
## 79 2023 PAN-005 July 31 2023 NA NA 41 41211
## 80 2023 PAN-005 July 31 2023 NA NA 42 11211
## 81 2023 PAN-005 July 31 2023 NA NA 43 31211
## 82 2023 PAN-005 July 31 2023 NA NA 44 12211
## 83 2023 PAN-005 July 31 2023 NA NA 45 11312
## 84 2023 PAN-005 July 31 2023 NA NA 46 11211
## 85 2023 PAN-005 July 31 2023 NA NA 47 21211
## 86 2023 PAN-005 July 31 2023 NA NA 48 61211
## 87 2023 PAN-005 July 31 2023 NA NA 49 31211
## 88 2023 PAN-005 July 31 2023 NA NA 50 11211
## 89 2023 PAN-005 July 31 2023 NA NA 51 31211
## 90 2023 PAN-005 July 31 2023 NA NA 52 61211
## 91 2023 PAN-005 July 31 2023 NA NA 53 31211
## 92 2023 PAN-005 July 31 2023 NA NA 54 31211
## 93 2023 PAN-005 July 31 2023 NA NA 55 31211
## 94 2023 PAN-005 July 31 2023 NA NA 56 61211
## 95 2023 PAN-005 July 31 2023 NA NA 57 12211
## 96 2023 PAN-005 July 31 2023 NA NA 58 11211
## 97 2023 PAN-005 July 31 2023 NA NA 59 11211
## 98 2023 PAN-005 July 31 2023 NA NA 60 61211
## 99 2023 PAN-005 July 31 2023 NA NA 61 31211
## 100 2023 PAN-005 July 31 2023 NA NA 62 61211
## 101 2023 PAN-005 July 31 2023 NA NA 63 12211
## 102 2023 PAN-005 July 31 2023 NA NA 64 11211
## 103 2023 PAN-005 July 31 2023 NA NA 65 61211
## 104 2023 PAN-005 July 31 2023 NA NA 66 12211
## 105 2023 PAN-005 July 31 2023 NA NA 67 11211
## 106 2023 PAN-005 July 31 2023 NA NA 68 61211
## 107 2023 PAN-005 July 31 2023 NA NA 69 41211
## 108 2023 PAN-005 July 31 2023 NA NA 70 13221
## 109 2023 PAN-005 July 31 2023 NA NA 71 13221
## 110 2023 PAN-005 July 31 2023 NA NA 72 12221
## 111 2023 PAN-005 July 31 2023 NA NA 73 13221
## 112 2023 PAN-005 July 31 2023 NA NA 74 13221
## 113 2023 PAN-005 July 31 2023 NA NA 75 11221
## 114 2023 PAN-005 July 31 2023 NA NA 76 13231
## 115 2023 PAN-005 July 31 2023 NA NA 77 11211
## 116 2023 PAN-005 July 31 2023 NA NA 78 11221
## 117 2023 PAN-005 July 31 2023 NA NA 79 11221
## 118 2023 PAN-005 July 31 2023 NA NA 80 11221
## 119 2023 PAN-005 July 31 2023 NA NA 81 12211
## 120 2023 PAN-005 July 31 2023 NA NA 82 41221
## 121 2023 PAN-005 July 31 2023 NA NA 83 42321
## 122 2023 PAN-005 July 31 2023 NA NA 84 61221
## 123 2023 PAN-005 July 31 2023 NA NA 85 41211
## 124 2023 PAN-005 July 31 2023 NA NA 86 61221
## 125 2023 PAN-005 July 31 2023 NA NA 87 41221
## 126 2023 PAN-005 July 31 2023 NA NA 88 61211
## 127 2023 PAN-005 July 31 2023 NA NA 89 41221
## 128 2023 PAN-005 July 31 2023 NA NA 90 61221
## 129 2023 PAN-005 July 31 2023 NA NA 91 41221
## 130 2023 PAN-005 July 31 2023 NA NA 92 31221
## 131 2023 PAN-005 July 31 2023 NA NA 93 11123
## 132 2023 PAN-005 July 31 2023 NA NA 94 31221
## 133 2023 PAN-005 July 31 2023 NA NA 95 43221
## 134 2023 PAN-005 July 31 2023 NA NA 96 31221
## 135 2023 PAN-005 July 31 2023 NA NA 97 71211
## 136 2023 PAN-005 July 31 2023 NA NA 98 61121
## 137 2023 PAN-005 July 31 2023 NA NA 99 41221
## 138 2023 PAN-005 July 31 2023 NA NA 100 71221
## 139 2023 PAN-005 July 31 2023 NA NA 101 41221
## 140 NA NA NA NA NA
## 141 2023 PAN-005 July 31 2023 NA NA 103 71211
## 142 2023 PAN-005 July 31 2023 NA NA 104 61221
## 143 2023 PAN-005 July 31 2023 NA NA 105 71211
## 144 2023 PAN-005 July 31 2023 NA NA 106 71221
## 145 2023 PAN-005 July 31 2023 NA NA 107 71111
## 146 2023 PAN-005 July 31 2023 NA NA 108 71221
## 147 2023 PAN-005 July 31 2023 NA NA 109 61211
## 148 2023 PAN-005 July 31 2023 NA NA 110 71221
## 149 2023 PAN-005 July 31 2023 NA NA 111 71211
## 150 2023 PAN-005 July 31 2023 NA NA 112 71221
## 151 2023 PAN-005 July 31 2023 NA NA 113 71211
## 152 2023 PAN-005 July 31 2023 NA NA 114 71221
## 153 2023 PAN-005 July 31 2023 NA NA 115 71211
## 154 2023 PAN-005 July 31 2023 NA NA 116 31221
## 155 2023 PAN-005 July 31 2023 NA NA 117 31221
## 156 2023 PAN-005 July 31 2023 NA NA 118 11221
## 157 2023 PAN-005 July 31 2023 NA NA 119 41221
## 158 2023 PAN-005 July 31 2023 NA NA 120 11211
## 159 2023 PAN-005 July 31 2023 NA NA 121 71221
## 160 2023 PAN-005 July 31 2023 NA NA 122 11211
## 161 2023 PAN-005 July 31 2023 NA NA 123 11211
## 162 2023 PAN-005 July 31 2023 NA NA 124 61221
## 163 2023 PAN-005 July 31 2023 NA NA 125 61221
## 164 NA NA NA NA NA
## 165 2023 PAN-005 July 31 2023 NA NA 127 13221
## 166 2023 PAN-005 July 31 2023 NA NA 128 13221
## 167 2023 PAN-005 July 31 2023 NA NA 129 11221
## 168 2023 PAN-005 July 31 2023 NA NA 130 13221
## 169 2023 PAN-005 July 31 2023 NA NA 131 13221
## 170 2023 PAN-005 July 31 2023 NA NA 132 11211
## 171 2023 PAN-005 July 31 2023 NA NA 133 11221
## 172 2023 PAN-005 July 31 2023 NA NA 134 11221
## 173 2023 PAN-005 July 31 2023 NA NA 135 11221
## 174 2023 PAN-005 July 31 2023 NA NA 136 11211
## 175 2023 PAN-005 July 31 2023 NA NA 137 11221
## 176 2023 PAN-005 July 31 2023 NA NA 138 11221
## 177 2023 PAN-005 July 31 2023 NA NA 139 11221
## 178 2023 PAN-005 July 31 2023 NA NA 140 11221
## 179 2023 PAN-005 July 31 2023 NA NA 141 11221
## 180 2023 PAN-005 July 31 2023 NA NA 142 NA
## 181 2023 PAN-005 July 31 2023 NA NA 143 11221
## 182 NA NA NA NA NA
## 183 2023 PAN-005 July 31 2023 NA NA 145 11221
## 184 2023 PAN-005 July 31 2023 NA NA 146 11221
## 185 2023 PAN-005 July 31 2023 NA NA 147 41211
## 186 2023 PAN-005 July 31 2023 NA NA 148 31221
## 187 2023 PAN-005 July 31 2023 NA NA 149 41221
## 188 2023 PAN-005 July 31 2023 NA NA 150 11221
## 189 2023 PAN-005 July 31 2023 NA NA 151 41211
## 190 2023 PAN-005 July 31 2023 NA NA 152 31221
## 191 2023 PAN-005 July 31 2023 NA NA 153 41211
## 192 2023 PAN-005 July 31 2023 NA NA 154 31211
## 193 2023 PAN-005 July 31 2023 NA NA 155 41211
## 194 2023 PAN-005 July 31 2023 NA NA 156 31221
## 195 2023 PAN-005 July 31 2023 NA NA 157 41221
## 196 2023 PAN-005 July 31 2023 NA NA 158 21211
## 197 2023 PAN-005 July 31 2023 NA NA 159 31221
## 198 2023 PAN-005 July 31 2023 NA NA 160 41211
## 199 2023 PAN-005 July 31 2023 NA NA 161 41211
## 200 2023 PAN-005 July 31 2023 NA NA 162 71211
## 201 2023 PAN-005 July 31 2023 NA NA 163 21211
## 202 2023 PAN-005 July 31 2023 NA NA 164 51211
## 203 2023 PAN-005 July 31 2023 NA NA 165 12221
## 204 2023 PAN-005 July 31 2023 NA NA 166 12221
## 205 2023 PAN-005 July 31 2023 NA NA 167 11211
## 206 2023 PAN-005 July 31 2023 NA NA 168 12221
## 207 2023 PAN-005 July 31 2023 NA NA 169 11221
## 208 2023 PAN-005 July 31 2023 NA NA 170 12221
## 209 2023 PAN-005 July 31 2023 NA NA 171 13211
## 210 2023 PAN-005 July 31 2023 NA NA 172 11213
## 211 2023 PAN-005 July 31 2023 NA NA 173 11231
## 212 2023 PAN-005 July 31 2023 NA NA 174 11221
## 213 2023 PAN-005 July 31 2023 NA NA 175 32221
## 214 2023 PAN-005 July 31 2023 NA NA 176 12221
## 215 2023 PAN-005 July 31 2023 NA NA 177 12221
## 216 2023 PAN-005 July 31 2023 NA NA 178 11221
## 217 2023 PAN-005 July 31 2023 NA NA 179 41221
## 218 2023 PAN-005 July 31 2023 NA NA 180 11221
## 219 2023 PAN-005 July 31 2023 NA NA 181 11221
## 220 2023 PAN-005 July 31 2023 NA NA 182 11221
## 221 2023 PAN-005 July 31 2023 NA NA 183 41211
## 222 2023 PAN-005 July 31 2023 NA NA 184 11221
## 223 2023 PAN-005 July 31 2023 NA NA 185 41211
## 224 2023 PAN-005 July 31 2023 NA NA 186 31211
## 225 2023 PAN-005 July 31 2023 NA NA 187 41211
## 226 2023 PAN-005 July 31 2023 NA NA 188 11221
## 227 2023 PAN-005 July 31 2023 NA NA 189 21211
## 228 2023 PAN-005 July 31 2023 NA NA 190 21211
## 229 2023 PAN-005 July 31 2023 NA NA 191 21221
## 230 2023 PAN-005 July 31 2023 NA NA 192 21211
## 231 2023 PAN-005 July 31 2023 NA NA 193 11221
## 232 2023 PAN-005 July 31 2023 NA NA 194 13221
## 233 2023 PAN-006 Aug 1 2023 NA NA 1 11221
## 234 2023 PAN-006 Aug 1 2023 NA NA 2 11221
## 235 2023 PAN-006 Aug 1 2023 NA NA 3 11221
## 236 2023 PAN-006 Aug 1 2023 NA NA 4 11221
## 237 2023 PAN-006 Aug 1 2023 NA NA 5 11221
## 238 2023 PAN-006 Aug 1 2023 NA NA 6 31322
## 239 2023 PAN-006 Aug 1 2023 NA NA 7 11221
## 240 2023 PAN-006 Aug 1 2023 NA NA 8 31222
## 241 2023 PAN-006 Aug 1 2023 NA NA 9 11221
## 242 2023 PAN-006 Aug 1 2023 NA NA 10 31222
## 243 2023 PAN-006 Aug 1 2023 NA NA 11 11211
## 244 2023 PAN-006 Aug 1 2023 NA NA 12 31222
## 245 2023 PAN-006 Aug 1 2023 NA NA 13 21311
## 246 2023 PAN-006 Aug 1 2023 NA NA 14 11212
## 247 2023 PAN-006 Aug 1 2023 NA NA 15 21223
## 248 2023 PAN-006 Aug 1 2023 NA NA 16 11221
## 249 2023 PAN-006 Aug 1 2023 NA NA 17 11221
## 250 2023 PAN-006 Aug 1 2023 NA NA 18 11211
## 251 2023 PAN-006 Aug 1 2023 NA NA 19 11221
## 252 2023 PAN-006 Aug 1 2023 NA NA 20 21211
## 253 2023 PAN-006 Aug 1 2023 NA NA 21 31211
## 254 2023 PAN-006 Aug 1 2023 NA NA 22 21211
## 255 2023 PAN-006 Aug 1 2023 NA NA 23 31221
## 256 2023 PAN-006 Aug 1 2023 NA NA 24 21221
## 257 2023 PAN-006 Aug 1 2023 NA NA 25 21211
## 258 2023 PAN-006 Aug 1 2023 NA NA 26 21211
## 259 2023 PAN-006 Aug 1 2023 NA NA 27 21211
## 260 2023 PAN-006 Aug 1 2023 NA NA 28 21211
## 261 2023 PAN-006 Aug 1 2023 NA NA 29 21211
## 262 2023 PAN-006 Aug 1 2023 NA NA 30 11221
## contour tone.type peak.frequency..Hz. duration..s. harmonics Megan
## 1 downsweep tonal 5501.976 5501.9760 sparse NA
## 2 downsweep tonal 5169.960 0.1777 sparse NA
## 3 downsweep tonal 3699.605 0.3164 sparse NA
## 4 flat tonal 2893.281 0.2210 sparse NA
## 5 flat tonal 2703.557 0.1690 sparse NA
## 6 downsweep tonal 2988.142 0.0910 sparse NA
## 7 downsweep tonal 5217.391 0.2123 sparse NA
## 8 downsweep tonal 12332.016 0.3814 dense NA
## 9 downsweep tonal 8395.257 0.2210 dense NA
## 10 downsweep tonal 8110.672 0.3554 dense NA
## 11 downsweep tonal 3415.020 0.2644 dense NA
## 12 downsweep tonal 4126.482 0.3554 dense NA
## 13 downsweep tonal 5644.269 0.2644 dense NA
## 14 downsweep tonal 3936.759 0.1257 sparse NA
## 15 arc tonal 2656.126 0.2644 sparse NA
## 16 downsweep tonal 3699.605 0.2947 dense NA
## 17 downsweep tonal 2845.850 0.2384 dense NA
## 18 downsweep tonal 2893.281 0.1127 dense NA
## 19 arc tonal 5501.976 0.1517 dense NA
## 20 downsweep tonal 5596.838 0.1647 dense NA
## 21 downsweep tonal 6687.747 0.1863 dense NA
## 22 downsweep tonal 5928.854 0.1863 dense NA
## 23 arc tonal 6308.300 0.1690 sparse NA
## 24 downsweep tonal 5739.130 0.1950 sparse NA
## 25 downsweep tonal 5691.700 0.1907 dense NA
## 26 downsweep tonal 5312.253 0.1647 dense NA
## 27 downsweep tonal 5644.269 0.1560 dense NA
## 28 downsweep tonal 6023.715 0.1647 dense NA
## 29 downsweep tonal 5407.115 0.1690 dense NA
## 30 freq-var nt tonal 1660.079 0.2037 none NA
## 31 upsweep tonal 2594.595 0.2506 none NA
## 32 upsweep tonal 1179.361 0.5362 none NA
## 33 upsweep tonal 1297.297 0.2967 none NA
## 34 upsweep tonal 1061.425 0.2359 none NA
## 35 freq-var nt tonal 5194.805 3.3875 dense NA
## 36 arc tonal 4571.429 1.4074 dense NA
## 37 arc tonal 4155.844 0.8347 dense NA
## 38 freq-var nt tonal 4779.221 2.4990 dense NA
## 39 flat tonal 2567.901 0.0518 none NA
## 40 freq-var nt tonal 2666.667 0.2591 dense NA
## 41 upsweep tonal 2172.840 1.1836 dense NA
## 42 freq-var nt tonal 2962.963 0.7658 dense NA
## 43 freq-var t tonal 5728.395 0.7237 dense NA
## 44 upsweep pulsed 4938.272 1.4669 dense NA
## 45 arc tonal 3061.728 0.4954 dense NA
## 46 upsweep tonal 2469.136 1.1197 dense NA
## 47 flat tonal 1580.247 0.1786 dense NA
## 48 freq-var nt tonal 2864.198 0.2793 dense NA
## 49 freq-var nt tonal 3555.556 0.3251 dense NA
## 50 arc tonal 1777.778 1.1266 dense NA
## 51 flat tonal 1975.309 0.3389 dense NA
## 52 flat tonal 1975.309 0.2015 dense NA
## 53 freq-var t tonal 3555.556 0.3549 dense NA
## 54 NA NA NA
## 55 freq-var t pulsed 2271.605 0.1580 dense NA
## 56 freq-var nt tonal 3851.852 0.1809 dense NA
## 57 freq-var nt tonal 2074.074 0.3137 dense NA
## 58 flat tonal 2765.432 0.2152 dense NA
## 59 flat tonal 1876.543 0.3000 dense NA
## 60 flat tonal 3358.025 0.3618 dense NA
## 61 flat tonal 2370.370 0.3526 dense NA
## 62 upsweep tonal 2370.370 0.1145 dense NA
## 63 upsweep tonal 2370.370 0.4763 dense NA
## 64 flat tonal 2765.432 0.1465 dense NA
## 65 upsweep tonal 5432.099 0.1305 dense NA
## 66 upsweep tonal 2864.198 0.1534 dense NA
## 67 freq-var nt tonal 4839.506 0.2221 dense NA
## 68 freq-var nt tonal 3358.025 0.1763 dense NA
## 69 NA NA NA
## 70 upsweep tonal 6123.457 0.0893 dense NA
## 71 upsweep tonal 1975.309 0.5060 dense NA
## 72 upsweep tonal 2765.432 0.3045 dense NA
## 73 upsweep pulsed 2469.136 0.1076 dense NA
## 74 upsweep tonal 3654.321 0.1305 dense NA
## 75 flat tonal 2666.667 0.3251 dense NA
## 76 upsweep tonal 3160.494 0.1420 sparse NA
## 77 upsweep tonal 4049.383 0.1191 dense NA
## 78 NA NA NA
## 79 arc tonal 4148.148 0.7052 dense NA
## 80 upsweep tonal 2567.901 0.1351 dense NA
## 81 flat tonal 3061.728 0.1878 dense NA
## 82 upsweep pulsed 2864.198 0.1580 dense NA
## 83 upsweep tonal 6123.457 0.1030 sparse NA
## 84 upsweep tonal 2172.840 0.5198 dense NA
## 85 downsweep tonal 2172.840 0.2542 dense NA
## 86 freq-var t tonal 2765.432 0.2931 dense NA
## 87 flat tonal 2271.605 0.1534 dense NA
## 88 upsweep tonal 4148.148 0.1145 dense NA
## 89 flat tonal 2666.667 0.1328 dense NA
## 90 freq-var t tonal 2666.667 0.4053 dense NA
## 91 flat tonal 2469.136 0.1672 dense NA
## 92 flat tonal 2666.667 0.1282 dense NA
## 93 flat tonal 2370.370 0.1145 dense NA
## 94 freq-var t tonal 2370.370 0.3435 dense NA
## 95 upsweep pulsed 2567.901 0.1488 dense NA
## 96 upsweep tonal 4641.975 0.1236 dense NA
## 97 upsweep tonal 2469.136 0.5083 dense NA
## 98 freq-var t tonal 2765.432 0.3000 dense NA
## 99 flat tonal 2567.901 0.1511 dense NA
## 100 freq-var t tonal 2765.432 0.3664 dense NA
## 101 upsweep pulsed 2666.667 0.1351 dense NA
## 102 upsweep tonal 4049.383 0.1832 dense NA
## 103 freq-var t tonal 2962.963 0.3503 dense NA
## 104 upsweep pulsed 2271.605 0.1397 dense NA
## 105 upsweep tonal 4345.679 0.0962 dense NA
## 106 freq-var t tonal 4641.975 0.3503 dense NA
## 107 arc tonal 1481.481 0.5770 dense NA
## 108 upsweep mixed 1876.543 4.3780 dense NA
## 109 upsweep mixed 2469.136 5.4402 dense NA
## 110 upsweep pulsed 2469.136 1.1269 dense NA
## 111 upsweep mixed 3259.259 4.1967 dense NA
## 112 upsweep mixed 3753.086 5.4661 dense NA
## 113 upsweep tonal 2666.667 1.4507 dense NA
## 114 upsweep mixed 3160.494 3.0050 dense NA
## 115 upsweep tonal 4641.975 1.2046 dense NA
## 116 upsweep tonal 3950.617 1.0103 dense NA
## 117 upsweep tonal 4148.148 1.1528 dense NA
## 118 upsweep tonal 4246.914 1.5932 dense NA
## 119 upsweep pulsed 4049.383 1.1852 dense NA
## 120 arc tonal 6123.457 1.5479 dense NA
## 121 arc pulsed 4345.679 0.7448 dense NA
## 122 freq-var t tonal 3654.321 1.5997 dense NA
## 123 arc tonal 3358.025 0.9326 dense NA
## 124 freq-var t tonal 4345.679 1.3082 dense NA
## 125 arc tonal 3358.025 1.1334 dense NA
## 126 freq-var t tonal 2962.963 0.9974 dense NA
## 127 arc tonal 3555.556 1.1722 dense NA
## 128 freq-var t tonal 2765.432 1.5025 dense NA
## 129 arc tonal 4444.444 1.1075 dense NA
## 130 flat tonal 2765.432 2.5452 dense NA
## 131 upsweep tonal 1679.012 1.0751 nonr NA
## 132 flat tonal 1679.012 1.1593 dense NA
## 133 arc mixed 2864.198 1.4766 dense NA
## 134 flat tonal 2567.901 1.8458 dense NA
## 135 freq-var nt tonal 3259.259 0.9844 dense NA
## 136 freq-var t tonal 2666.667 1.1528 dense NA
## 137 arc tonal 3160.494 1.0686 dense NA
## 138 freq-var nt tonal 2864.198 1.2046 dense NA
## 139 arc tonal 3061.728 0.9715 dense NA
## 140 NA NA NA
## 141 freq-var nt tonal 2370.370 0.8549 dense NA
## 142 freq-var t tonal 3061.728 1.2888 dense NA
## 143 freq-var nt tonal 2074.074 0.4145 dense NA
## 144 freq-var nt tonal 3358.025 1.0816 dense NA
## 145 freq-var nt tonal 3061.728 0.9779 dense NA
## 146 freq-var nt tonal 2567.901 1.5867 dense NA
## 147 freq-var t tonal 2567.901 1.0751 dense NA
## 148 freq-var nt tonal 2765.432 1.1593 dense NA
## 149 freq-var nt tonal 3061.728 1.0945 dense NA
## 150 freq-var nt tonal 2765.432 1.1204 dense NA
## 151 freq-var nt tonal 2864.198 0.8095 dense NA
## 152 freq-var nt tonal 2370.370 2.3185 dense NA
## 153 freq-var nt tonal 3160.494 0.9067 dense NA
## 154 flat tonal 2644.898 1.1075 dense NA
## 155 flat tonal 2351.020 1.3471 dense NA
## 156 upsweep tonal 1766.234 1.8652 dense NA
## 157 arc tonal 1766.234 2.7006 dense NA
## 158 upsweep tonal 2285.714 0.7318 dense NA
## 159 freq-var nt tonal 2493.506 3.3159 dense NA
## 160 upsweep tonal 1558.442 0.8743 dense NA
## 161 upsweep tonal 1558.442 0.8290 dense NA
## 162 freq-var t tonal 2493.506 3.6009 dense NA
## 163 freq-var t tonal 2389.610 1.0492 dense NA
## 164 NA NA NA
## 165 upsweep mixed 1766.234 4.5723 dense NA
## 166 upsweep mixed 2077.922 5.7834 dense NA
## 167 upsweep tonal 1662.338 1.1010 dense NA
## 168 upsweep mixed 2077.922 3.8793 dense NA
## 169 upsweep mixed 1662.338 5.6539 dense NA
## 170 upsweep tonal 1662.338 0.8614 dense NA
## 171 upsweep tonal 1974.026 2.0271 dense NA
## 172 upsweep tonal 2077.922 2.5646 dense NA
## 173 upsweep tonal 2805.195 1.1463 dense NA
## 174 upsweep tonal 1870.130 0.6930 dense NA
## 175 upsweep tonal 2181.818 1.7162 dense NA
## 176 upsweep tonal 1974.026 2.2603 dense NA
## 177 upsweep tonal 1974.026 1.0556 dense NA
## 178 upsweep tonal 2077.922 1.0038 dense NA
## 179 upsweep tonal 2285.714 1.1075 dense NA
## 180 NA NA NA
## 181 upsweep tonal 3948.052 1.2377 dense NA
## 182 NA NA NA
## 183 upsweep tonal 2909.091 2.5323 dense NA
## 184 upsweep tonal 2701.299 1.1787 dense NA
## 185 arc tonal 3636.364 0.6217 dense NA
## 186 flat tonal 2389.610 1.4313 dense NA
## 187 arc tonal 3220.779 1.0233 dense NA
## 188 upsweep tonal 2909.091 1.0880 dense NA
## 189 arc tonal 3324.675 0.9974 dense NA
## 190 flat tonal 2805.195 1.8263 dense NA
## 191 arc tonal 3012.987 0.9650 dense NA
## 192 flat tonal 2181.818 0.9261 dense NA
## 193 arc tonal 2805.195 0.9974 dense NA
## 194 flat tonal 2493.506 1.7098 dense NA
## 195 arc tonal 3532.468 1.0103 dense NA
## 196 downsweep tonal 2701.299 0.8614 dense NA
## 197 flat tonal 2077.922 1.0751 dense NA
## 198 arc tonal 3012.987 0.8873 dense NA
## 199 arc tonal 2909.091 0.9067 dense NA
## 200 freq-var nt tonal 2909.091 0.9974 dense NA
## 201 downsweep tonal 2597.403 0.8549 dense NA
## 202 u-shape tonal 2805.195 0.8419 dense NA
## 203 upsweep pulsed 2285.714 1.4054 dense NA
## 204 upsweep pulsed 1974.026 1.7745 dense NA
## 205 upsweep tonal 2181.818 0.9520 dense NA
## 206 upsweep pulsed 2493.506 1.3730 dense NA
## 207 upsweep tonal 1974.026 1.4960 dense NA
## 208 upsweep pulsed 2077.922 1.4701 dense NA
## 209 upsweep mixed 2077.922 0.9132 dense NA
## 210 upsweep tonal 2077.922 0.6282 none NA
## 211 upsweep tonal 2597.403 0.1360 dense NA
## 212 upsweep tonal 1454.545 1.0362 dense NA
## 213 flat pulsed 1454.545 1.2435 dense NA
## 214 upsweep pulsed 1838.298 2.6100 dense NA
## 215 upsweep pulsed 1838.298 2.0077 dense NA
## 216 upsweep tonal 2144.681 2.8367 dense NA
## 217 arc tonal 2348.936 1.4960 dense NA
## 218 upsweep tonal 2348.936 1.3795 dense NA
## 219 upsweep tonal 2655.319 1.8458 dense NA
## 220 upsweep tonal 2348.936 1.0492 dense NA
## 221 arc tonal 3472.340 0.7254 dense NA
## 222 upsweep tonal 2961.702 1.1981 dense NA
## 223 arc tonal 3676.596 0.7448 dense NA
## 224 flat tonal 3063.830 1.9300 dense NA
## 225 arc tonal 3370.213 0.9650 dense NA
## 226 upsweep tonal 2451.064 1.0103 dense NA
## 227 downsweep tonal 2348.936 0.8484 dense NA
## 228 downsweep tonal 3370.213 0.9715 dense NA
## 229 downsweep tonal 2859.574 1.0168 dense NA
## 230 downsweep tonal 3165.957 0.9326 dense NA
## 231 upsweep tonal 2144.681 1.4960 dense NA
## 232 upsweep mixed 2451.064 6.3792 dense NA
## 233 upsweep tonal 3428.571 2.9066 dense NA
## 234 upsweep tonal 2389.610 1.2535 dense NA
## 235 upsweep tonal 2597.403 1.2699 dense NA
## 236 upsweep tonal 1662.338 1.1112 dense NA
## 237 upsweep tonal 1870.130 0.9524 dense NA
## 238 flat tonal 6233.766 2.7643 sparse NA
## 239 upsweep tonal 2909.091 1.4725 dense NA
## 240 flat tonal 3948.052 1.8173 sparse NA
## 241 upsweep tonal 1974.026 1.1112 dense NA
## 242 flat tonal 3116.883 1.2973 sparse NA
## 243 upsweep tonal 1766.234 0.7444 dense NA
## 244 flat tonal 3844.156 1.5765 sparse NA
## 245 downsweep tonal 5090.909 0.3886 dense NA
## 246 upsweep tonal 2389.610 0.6240 sparse NA
## 247 downsweep tonal 3012.987 2.2114 none NA
## 248 upsweep tonal 2285.714 1.0291 dense NA
## 249 upsweep tonal 2597.403 1.6093 dense NA
## 250 upsweep tonal 2909.091 0.8375 dense NA
## 251 upsweep tonal 2701.299 1.1276 dense NA
## 252 downsweep tonal 3428.571 0.6459 dense NA
## 253 flat tonal 2805.195 0.4707 dense NA
## 254 downsweep tonal 3220.779 0.7390 dense NA
## 255 flat tonal 3220.779 1.3520 dense NA
## 256 downsweep tonal 3116.883 1.0072 dense NA
## 257 downsweep tonal 3012.987 0.8430 dense NA
## 258 downsweep tonal 2701.299 0.6842 dense NA
## 259 downsweep tonal 2805.195 0.7444 dense NA
## 260 downsweep tonal 3012.987 0.6295 dense NA
## 261 downsweep tonal 3012.987 0.7499 dense NA
## 262 upsweep tonal 3116.883 2.3647 dense NA
## Laura Ilaria
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
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## 262 NA NA
Boxplots
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.3.2
# make a basic boxplot
p1 <- ggplot(data,aes(x=X,y=peak.frequency..Hz.,fill=as.factor(X))) + geom_boxplot()
plot(p1)
## Warning: Removed 4 rows containing missing values or values outside the scale range
## (`stat_boxplot()`).
## Warning: Removed 3 rows containing non-finite outside the scale range
## (`stat_boxplot()`).
# change the colors to something nicer - let's use one of my favorite wes anderson movies
library(wesanderson)
my_cols <- wes_palettes$Zissou1[c(1,3,5)]
my_cols
## [1] "#3B9AB2" "#EBCC2A" "#F21A00"
p2 <- ggplot(data,aes(x=X,y=peak.frequency..Hz.,fill=as.factor(X))) + geom_boxplot()
p2 + scale_fill_manual(values=my_cols)
## Warning: Removed 4 rows containing missing values or values outside the scale range
## (`stat_boxplot()`).
## Removed 3 rows containing non-finite outside the scale range
## (`stat_boxplot()`).
# add better axis labels!
p3 <- ggplot(data,aes(x=X,y=peak.frequency..Hz.,fill=as.factor(X))) + geom_boxplot()
p3 + scale_fill_manual(values=my_cols) + xlab("Year") + ylab("Peak Frequency (Hz)")
## Warning: Removed 4 rows containing missing values or values outside the scale range
## (`stat_boxplot()`).
## Removed 3 rows containing non-finite outside the scale range
## (`stat_boxplot()`).
# change x axis to be better for my purposes (represent discrete years, not continuous values), and change the legend title
p3 + scale_fill_manual(values=my_cols) + xlab("Year") + ylab("Peak Frequency (Hz)") + labs(fill ="Year") + scale_x_discrete()
## Warning: Removed 4 rows containing missing values or values outside the scale range
## (`stat_boxplot()`).
## Removed 3 rows containing non-finite outside the scale range
## (`stat_boxplot()`).
Pie Charts
# make a basic pie chart: tone types for different contour types
ggplot(data, aes(y=contour, fill=tone.type)) +
geom_bar() +
coord_polar("y", start=0)
# make it look nicer!
my_cols <- wes_palettes$Zissou1[c(4,5,3,1)]
ggplot(data, aes(y=contour, fill=tone.type)) +
geom_bar() +
coord_polar("y", start=0) +
scale_fill_manual(values=my_cols) +
ylab("Contour Type") +
labs(fill ="Tone Type")
# that's cool!