Reputation: 1013
In an effort to subset an xts object, I am using the .index*
family of functions (http://www.inside-r.org/packages/cran/xts/docs/indexClass) as shown in one of the answers to this question: Return data subset time frames within another timeframes?.
The sample xts object used in this example has 1000 hourly data points from 2015-12-29 to 2016-02-29. The code below attempts to create subsets for various time selection criteria. Some of the functions are not working: indexyear
, indexweek
, indexday
and indexmin
fail to produce any output (please note the rest of the functions work as intended). Would anyone know why? Thanks very much!
library(xts)
DATSxts <- structure(c(1069.4, 1070.7, 1070.4, 1070.3, 1068.7, 1068.7, 1069.4, 1069.7, 1069.5, 1068.1, 1069.3, 1069.2, 1069.3, 1070.7, 1070.9, 1070.7, 1070.8, 1070.5, 1070.5, 1069.7, 1068.9, 1070.2, 1067.3, 1067.8, 1067.9, 1061.7, 1060.8, 1061.7, 1060.9, 1060.2, 1060.9, 1061, 1060.3, 1061.2, 1061.9, 1062, 1061.9, 1062.5, 1062.3, 1062.3, 1062, 1062.7, 1063, 1062, 1062.6, 1062.4, 1061.8, 1058.9, 1061.5, 1062.4, 1061.4, 1060.9, 1062, 1060.6, 1059.4, 1060.5, 1061.3, 1063.1, 1064.6, 1063.5, 1064.3, 1063.7, 1065.3, 1068.7, 1069.8, 1071.3, 1072.8, 1073.8, 1072.9, 1072.7, 1072.6, 1078.8, 1080.6, 1078.2, 1073.7, 1076.4, 1075.2, 1075.4, 1075.4, 1074.7, 1073.2, 1076, 1076.5, 1076.2, 1077.1, 1077.6, 1078.5, 1079.1, 1077, 1077, 1078.1, 1077.7, 1080, 1079.7, 1075.6, 1077.2, 1077.2, 1080, 1080, 1078.8, 1079, 1078.9, 1077.8, 1078, 1077.7, 1076.1, 1077, 1078.4, 1078.6, 1079.5, 1080.5, 1082.1, 1083.3, 1083.5, 1085.6, 1085.2, 1088.8, 1085.1, 1090.5, 1088, 1091.1, 1091.4, 1094.3, 1094.4, 1094.2, 1094.1, 1093.1, 1093.1, 1097.6, 1098.7, 1098.2, 1100.1,
1099.4, 1100.1, 1097.6, 1096.1, 1097, 1096.4, 1098.5, 1100.8, 1101.8, 1106.4, 1103.5, 1106.4, 1109.5, 1108.7, 1110.4, 1109.8, 1109.5, 1109.9, 1109.1, 1104.3, 1105.2, 1104.1, 1103.5, 1104, 1102.9, 1101.7, 1099.8, 1096.8, 1098.6, 1100, 1100.1, 1100, 1101.9, 1103.7, 1103.8, 1101.2, 1098.9, 1103.1, 1104.6, 1104.9, 1107.2, 1107.1, 1106.1, 1105.2, 1104.5, 1104.4, 1105.6, 1107.4, 1106.7, 1100.8, 1100, 1104.4, 1103.4, 1104, 1101.4, 1102, 1100, 1098.9, 1099.6, 1097.3, 1096.8, 1095.4, 1094.5, 1096.3, 1095.4, 1095.8, 1096, 1097.4, 1098.4, 1096.3, 1095, 1095.4, 1096.9, 1095.4, 1092.3, 1091.6, 1087.8, 1089, 1085.8, 1088.8, 1086.8, 1086.8, 1087.5, 1090.3, 1090, 1086.8, 1087.1, 1086.6, 1086.2, 1085, 1084.4, 1083.9, 1085.7, 1085.9, 1082.9, 1082.7, 1081.7, 1082.7, 1083.3, 1083.2, 1082.2, 1088.7, 1089.5, 1092.4, 1091.6, 1093, 1094.4, 1095.2, 1094.1, 1095.8, 1094.5, 1093.1, 1093.7, 1093.1, 1095.4, 1092.3, 1091.5, 1089.1, 1092.5, 1092.4, 1091.4, 1092.3, 1086.1, 1084.8, 1088.7, 1082.9, 1082.6, 1078.4, 1073.6, 1076.9, 1077.6, 1079.1, 1077.7, 1078.6, 1078.8, 1080.4, 1081.2, 1081.5, 1081.1, 1083.6, 1084.9, 1084.2, 1083.9, 1081.3, 1082.4, 1084.6, 1094.6, 1094.1, 1091.1, 1090.7, 1090.8, 1090.3, 1089.3, 1088.8, 1089.4, 1091, 1091.5, 1091.9, 1093.3, 1092.4, 1093.1, 1090.9, 1090.6, 1091, 1089.3, 1091.8, 1091.2, 1090.5, 1091, 1090.6, 1089.8, 1089.7, 1090.1, 1089.7, 1089.3, 1089.1, 1086.4, 1090.6, 1090.3, 1089, 1089.3, 1089.5, 1090.8, 1093.3, 1089.5, 1087.8, 1084.7, 1085.3, 1086.7, 1086.8, 1086.9, 1087.7, 1090.1, 1090.8, 1088.3, 1087.9, 1088.1, 1088.6, 1090.1, 1092.2, 1091.6, 1093.3, 1093.3, 1091.9, 1092.7, 1094.8, 1096.3, 1094.1, 1095.5, 1095.9, 1102.5, 1100.5, 1101.9, 1102.8, 1104.3, 1106.8, 1105.6, 1104.5, 1102.7, 1101.8, 1100.4, 1099.7, 1100.7, 1100.3, 1100.9, 1103, 1104.3, 1103.8, 1104.1, 1101.4, 1099.7, 1098.3, 1100.2, 1100.6, 1098.6, 1097.2, 1095.7, 1095.4, 1096, 1101.8, 1101.6, 1103.5, 1102.2, 1101.7, 1100.3, 1100.4, 1100.1, 1102.1, 1100.6, 1099.8, 1099.5, 1097.8, 1096.4, 1098.1, 1098.7, 1099.1, 1098.9, 1096.2, 1097.3, 1101.3, 1100, 1099, 1097, 1097.8, 1098.8, 1099, 1099.1, 1099.3, 1101.3, 1102.1, 1102.9, 1103.1, 1101.9, 1102.3, 1105.2, 1104.3, 1105.7, 1105.1, 1107.5, 1105.4, 1107.9, 1107.4, 1107.5, 1108.8, 1107, 1106.4, 1106.5, 1109.6, 1108.9, 1109.7, 1109.4, 1110.9, 1112.2, 1114.1, 1113.5, 1113.5, 1115.9, 1117.3, 1115.2, 1114.5, 1114.9, 1112.7, 1113.2, 1114.2, 1114.9, 1119.6, 1118.8, 1119.6, 1122.1, 1123.1, 1122.6, 1120.7, 1120.5, 1121.4, 1121.3, 1122, 1122.3, 1121, 1121.5, 1120.4, 1119, 1118.4, 1119.7, 1117.9, 1118.9, 1119.8, 1119.4, 1117.6, 1117.2, 1117.5, 1118.2, 1117.3, 1128.3, 1126.4, 1125.7, 1125.3, 1122.8, 1120.6, 1121, 1122.3, 1121.1, 1120.3, 1118, 1118.5, 1119.3, 1118.2, 1118.9, 1122.1, 1120.3, 1120.8, 1114, 1115.9, 1116.5, 1116.1, 1115.8, 1115.9, 1114.3, 1115.6, 1114.6, 1114.8, 1116.3, 1114.9, 1112.7, 1115.7, 1114.6, 1115.5, 1113.4, 1111.7, 1113.4, 1112.8, 1112.1, 1115.4, 1113.5, 1112.4, 1118, 1117, 1117.1, 1116.6, 1116.5, 1117.9, 1118.4, 1117.8, 1118.4, 1120.4, 1121.4, 1122.5, 1122.3, 1122.3, 1121.8, 1122.9, 1122, 1122, 1123, 1121.8, 1123.9, 1122.9, 1126.4, 1126.3, 1126.7, 1127.2, 1127.6, 1128.8, 1129.7, 1128.6, 1128.6, 1129.5, 1127.6, 1127.4, 1126.1, 1125.8, 1125.8, 1125.9, 1126.1, 1126.4, 1125.8, 1125.2, 1124.8, 1125.4, 1127.4, 1128.9, 1128.3, 1125, 1126.3, 1128, 1128.3, 1130.1, 1129.6, 1127.9, 1127.6, 1128.4, 1128.7, 1127.8, 1127.1, 1128.5, 1128.5, 1124.9, 1126.8, 1128.2, 1130.4, 1128.6, 1130.2, 1126.7, 1132.5, 1138.2, 1138.6, 1140, 1144.2, 1138.9, 1142.8, 1143, 1142.6, 1143.5, 1141.8, 1141.3, 1141.2, 1141.8, 1143.5, 1143.9, 1142.4, 1145.4, 1146.4, 1147.6, 1145.8, 1148.2, 1153.5, 1155.3, 1152.1, 1154.6, 1155.9, 1155.5, 1156.4, 1156.4, 1156, 1156, 1156.1, 1154.8, 1156.4, 1156.1, 1155.7, 1155.3, 1154.8, 1154.8, 1156.3, 1157.9, 1159.4, 1159.4, 1159, 1151.5, 1149.9, 1154, 1155.3, 1157.6, 1157.9, 1162.8, 1174.5, 1174.1, 1174.1, 1165.3, 1168.5, 1165.4, 1165.5, 1166.2, 1166.7, 1166.2, 1166.4, 1165.8, 1168.5, 1173.8, 1176.4, 1175.9, 1182.5, 1182.1, 1192.1, 1193.6, 1194.4, 1195.6, 1201, 1195.5, 1190.7, 1189.6, 1191.5,
1193.2, 1193.9, 1194, 1193.2, 1193.1, 1191.8, 1193.4, 1186.7, 1188.7, 1189.5, 1189.3, 1191.7, 1196.6, 1198.5, 1189.7, 1195.5, 1195.6, 1197.3, 1195.2, 1190.8, 1187.9, 1189.4, 1189.6, 1192.1, 1193.4, 1191.5, 1191.3, 1191.8, 1191.8, 1191.2, 1188, 1187, 1182.3, 1182.6, 1182.8, 1183.7, 1187.9, 1191, 1192.6, 1193.3, 1192.1, 1192.5, 1194, 1196.9, 1197.4, 1197.4, 1199, 1208.7, 1208.4, 1207, 1206.1, 1209.3, 1206.7, 1208.2, 1207.6, 1217.6, 1217.6, 1224.8, 1237.3, 1235.9, 1236, 1233, 1247.1, 1254.5, 1248.4, 1249.4, 1245, 1245.1, 1247, 1240.7, 1238.6, 1236.3, 1238.2, 1233.9, 1233.5, 1239.3, 1245, 1242.6, 1239.5, 1238.4, 1242.6, 1238, 1238.7, 1236, 1239.5, 1238.4, 1237.8, 1236.9, 1239.3, 1238.7, 1238.5, 1238.5, 1233.8, 1228.1, 1223.7, 1224.7, 1221, 1220.6, 1219.8, 1219.5, 1212.4, 1210.1, 1209.5, 1210.2, 1209.9, 1209.6, 1211.7, 1210, 1205.7, 1207.4, 1209.4, 1208.4, 1208.4, 1204.7, 1198.4, 1193.4, 1194.2, 1197.9, 1201.3, 1196.2, 1200, 1211, 1212, 1215.4, 1213.9, 1215.3, 1211.2, 1216.4, 1213, 1209.1, 1204.2, 1204.2, 1200.4, 1200.9, 1203.2, 1198.2, 1202.6, 1203.7, 1209.3, 1209.1, 1206.8, 1207.3, 1211.5, 1204.6, 1202.9, 1203, 1202.3, 1207, 1209.4, 1210.9, 1210.6, 1212.8, 1210.2, 1210.3, 1208.9, 1208.3, 1209, 1207.4, 1209.3, 1209.1, 1210.5, 1210.1, 1209.5, 1209.9, 1208.1, 1207.5, 1207.6, 1206.8, 1203.4, 1204.3, 1205.8, 1206.9, 1210.8, 1215.8, 1218.8, 1227.8, 1232.9, 1234.7, 1237.5, 1231.3, 1231.6, 1232.8, 1227.2, 1227.5, 1228.4, 1228, 1226.7, 1226.5, 1224.4, 1224.2, 1221.5, 1222.9, 1230.8, 1231.7, 1230.7, 1229.3, 1231.6, 1233, 1231.3, 1231.9, 1232.7, 1229.6, 1226.6, 1226.1, 1225.9, 1223.5, 1223.3, 1217.1, 1216.3, 1217, 1217.7, 1211, 1209.5, 1206.6, 1205.2, 1204, 1207.6, 1209.1, 1212.6, 1212.2, 1210.3, 1211.1, 1209.2, 1208.2, 1207.9, 1208.9, 1209.3, 1211.2, 1215.8, 1215.7, 1221.1, 1220.5, 1216.6, 1216.7, 1217.8, 1216.9, 1219.2, 1218.8, 1217.4, 1219.3, 1218.6, 1221.6, 1225.6, 1224.6, 1223.8, 1222.8, 1223.6, 1226.1, 1226, 1231.1, 1230, 1225.9, 1228, 1228.6, 1228.7, 1228.1, 1226, 1224.2, 1226.2, 1230.6, 1237.1, 1238, 1236.1, 1244.4, 1250.2, 1248.6, 1245.6, 1238.4, 1239.7, 1230.5, 1230.3, 1229.4, 1225, 1228.5, 1236.3, 1233.3, 1234.4, 1233.4, 1234.5, 1237.2, 1241, 1239.5, 1237.4, 1236, 1233.3, 1236.5, 1234.8, 1236.4, 1239.2, 1239.8, 1242.1, 1235.1, 1239.1, 1233.6, 1233.7, 1234.5, 1237.5, 1239, 1237.6, 1236.5, 1238.1, 1240, 1239.6, 1237, 1231.4, 1233.1, 1233.4, 1236.6, 1237.1, 1229.3, 1227.6, 1217.5, 1219.2, 1220.4, 1222.3, 1226.2, 1224.9, 1222.8, 1221.9, 1221.8, 1226.4, 1226.4, 1225.2, 1226.8, 1229, 1227.3, 1230.8, 1234.1, 1235.1, 1234.9, 1229.9, 1231.3, 1229.2, 1234.6, 1232.4, 1233.8, 1232.6, 1234.6, 1239.6, 1240.9, 1239.3, 1241.1, 1241.4, 1247.2, 1244.8, 1244.4, 1245.7),
.Dim = c(1000L, 1L), index = structure(c(1451386800, 1451390400, 1451394000, 1451397600, 1451401200, 1451404800, 1451408400, 1451412000, 1451415600, 1451419200, 1451422800, 1451430000, 1451433600, 1451437200, 1451440800, 1451444400, 1451448000, 1451451600, 1451455200, 1451458800, 1451462400, 1451466000, 1451469600, 1451473200, 1451476800, 1451480400, 1451484000, 1451487600, 1451491200, 1451494800, 1451498400, 1451502000, 1451505600, 1451509200, 1451516400, 1451520000, 1451523600, 1451527200, 1451530800, 1451534400, 1451538000, 1451541600, 1451545200, 1451548800, 1451552400, 1451556000, 1451559600, 1451563200, 1451566800, 1451570400, 1451574000, 1451577600, 1451581200, 1451584800, 1451588400, 1451592000, 1451595600, 1451862000, 1451865600, 1451869200, 1451872800, 1451876400, 1451880000, 1451883600, 1451887200, 1451890800, 1451894400, 1451898000, 1451901600, 1451905200, 1451908800, 1451912400, 1451916000, 1451919600, 1451923200, 1451926800, 1451930400, 1451934000, 1451937600, 1451941200, 1451948400, 1451952000, 1451955600, 1451959200, 1451962800, 1451966400, 1451970000, 1451973600, 1451977200, 1451980800, 1451984400, 1451988000, 1451991600, 1451995200, 1451998800, 1452002400, 1452006000, 1452009600, 1452013200, 1452016800, 1452020400, 1452024000, 1452027600, 1452034800, 1452038400, 1452042000, 1452045600, 1452049200, 1452052800, 1452056400, 1452060000, 1452063600, 1452067200, 1452070800, 1452074400, 1452078000, 1452081600, 1452085200, 1452088800, 1452092400, 1452096000, 1452099600, 1452103200, 1452106800, 1452110400, 1452114000, 1452121200, 1452124800, 1452128400, 1452132000, 1452135600, 1452139200, 1452142800, 1452146400, 1452150000, 1452153600, 1452157200, 1452160800, 1452164400, 1452168000, 1452171600, 1452175200, 1452178800, 1452182400, 1452186000, 1452189600, 1452193200, 1452196800, 1452200400, 1452207600, 1452211200, 1452214800, 1452218400, 1452222000, 1452225600, 1452229200, 1452232800, 1452236400, 1452240000, 1452243600, 1452247200, 1452250800, 1452254400, 1452258000, 1452261600, 1452265200, 1452268800, 1452272400, 1452276000, 1452279600, 1452283200, 1452286800, 1452466800, 1452470400, 1452474000, 1452477600, 1452481200, 1452484800, 1452488400, 1452492000, 1452495600, 1452499200, 1452502800, 1452506400, 1452510000, 1452513600, 1452517200, 1452520800, 1452524400, 1452528000, 1452531600, 1452535200, 1452538800, 1452542400, 1452546000, 1452553200, 1452556800, 1452560400, 1452564000, 1452567600, 1452571200, 1452574800, 1452578400, 1452582000, 1452585600, 1452589200, 1452592800, 1452596400, 1452600000, 1452603600, 1452607200, 1452610800, 1452614400, 1452618000, 1452621600, 1452625200, 1452628800, 1452632400, 1452639600, 1452643200, 1452646800, 1452650400, 1452654000, 1452657600, 1452661200, 1452664800, 1452668400, 1452672000, 1452675600, 1452679200, 1452682800, 1452686400, 1452690000, 1452693600, 1452697200, 1452700800, 1452704400, 1452708000, 1452711600, 1452715200, 1452718800, 1452726000, 1452729600, 1452733200, 1452736800, 1452740400, 1452744000, 1452747600, 1452751200, 1452754800, 1452758400, 1452762000, 1452765600, 1452769200, 1452772800, 1452776400, 1452780000, 1452783600, 1452787200, 1452790800, 1452794400, 1452798000, 1452801600, 1452805200, 1452812400, 1452816000, 1452819600, 1452823200, 1452826800, 1452830400, 1452834000, 1452837600, 1452841200, 1452844800, 1452848400, 1452852000, 1452855600, 1452859200, 1452862800, 1452866400, 1452870000, 1452873600, 1452877200, 1452880800, 1452884400, 1452888000, 1452891600, 1453071600, 1453075200, 1453078800, 1453082400, 1453086000, 1453089600, 1453093200, 1453096800, 1453100400, 1453104000, 1453107600, 1453111200, 1453114800, 1453118400, 1453122000, 1453125600, 1453129200, 1453132800, 1453136400, 1453158000, 1453161600, 1453165200, 1453168800, 1453172400, 1453176000, 1453179600, 1453183200, 1453186800, 1453190400, 1453194000, 1453197600, 1453201200, 1453204800, 1453208400, 1453212000, 1453215600, 1453219200, 1453222800,
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1454655600, 1454659200, 1454662800, 1454666400, 1454670000, 1454673600, 1454677200, 1454680800, 1454684400, 1454688000, 1454691600, 1454695200, 1454698800, 1454702400, 1454706000, 1454709600, 1454886000, 1454889600, 1454893200, 1454896800, 1454900400, 1454904000, 1454907600, 1454911200, 1454914800, 1454918400, 1454922000, 1454925600, 1454929200, 1454932800, 1454936400, 1454940000, 1454943600, 1454947200, 1454950800, 1454954400, 1454958000, 1454961600, 1454965200, 1454972400, 1454976000, 1454979600, 1454983200, 1454986800, 1454990400, 1454994000, 1454997600, 1455001200, 1455004800, 1455008400, 1455012000, 1455015600, 1455019200, 1455022800, 1455026400, 1455030000, 1455033600, 1455037200, 1455040800, 1455044400, 1455048000, 1455051600, 1455058800, 1455062400, 1455066000, 1455069600, 1455073200, 1455076800, 1455080400, 1455084000, 1455087600, 1455091200, 1455094800, 1455098400, 1455102000, 1455105600, 1455109200, 1455112800, 1455116400, 1455120000, 1455123600, 1455127200, 1455130800, 1455134400, 1455138000, 1455141600, 1455145200, 1455148800, 1455152400, 1455156000,
1455159600, 1455163200, 1455166800, 1455170400, 1455174000, 1455177600, 1455181200, 1455184800, 1455188400, 1455192000, 1455195600, 1455199200, 1455202800, 1455206400, 1455210000, 1455213600, 1455217200, 1455220800, 1455224400, 1455231600, 1455235200, 1455238800, 1455242400, 1455246000, 1455249600, 1455253200, 1455256800, 1455260400, 1455264000, 1455267600, 1455271200, 1455274800, 1455278400, 1455282000, 1455285600, 1455289200, 1455292800, 1455296400, 1455300000, 1455303600, 1455307200, 1455310800, 1455490800, 1455494400, 1455498000, 1455501600, 1455505200, 1455508800, 1455512400, 1455516000, 1455519600, 1455523200, 1455526800, 1455530400, 1455534000, 1455537600, 1455541200, 1455544800, 1455548400, 1455552000, 1455555600, 1455577200, 1455580800, 1455584400, 1455588000, 1455591600, 1455595200, 1455598800, 1455602400, 1455606000, 1455609600, 1455613200, 1455616800, 1455620400, 1455624000, 1455627600, 1455631200, 1455634800, 1455638400, 1455642000, 1455645600, 1455649200, 1455652800, 1455656400, 1455663600, 1455667200, 1455670800, 1455674400, 1455678000, 1455681600, 1455685200, 1455688800, 1455692400, 1455696000, 1455699600, 1455703200, 1455706800, 1455710400, 1455714000, 1455717600, 1455721200, 1455724800, 1455728400, 1455732000, 1455735600, 1455739200, 1455742800, 1455750000, 1455753600, 1455757200, 1455760800, 1455764400, 1455768000, 1455771600, 1455775200, 1455778800, 1455782400, 1455786000, 1455789600, 1455793200, 1455796800, 1455800400, 1455804000, 1455807600, 1455811200, 1455814800, 1455818400, 1455822000, 1455825600, 1455829200, 1455836400, 1455840000, 1455843600, 1455847200, 1455850800, 1455854400, 1455858000, 1455861600, 1455865200, 1455868800, 1455872400, 1455876000, 1455879600, 1455883200, 1455886800, 1455890400, 1455894000, 1455897600, 1455901200, 1455904800, 1455908400, 1455912000, 1455915600, 1456095600, 1456099200, 1456102800, 1456106400, 1456110000, 1456113600, 1456117200, 1456120800, 1456124400, 1456128000, 1456131600, 1456135200, 1456138800, 1456142400, 1456146000, 1456149600, 1456153200, 1456156800, 1456160400, 1456164000, 1456167600, 1456171200, 1456174800, 1456182000, 1456185600, 1456189200, 1456192800, 1456196400, 1456200000, 1456203600, 1456207200, 1456210800, 1456214400, 1456218000, 1456221600, 1456225200, 1456228800, 1456232400, 1456236000, 1456239600, 1456243200, 1456246800, 1456250400, 1456254000, 1456257600, 1456261200, 1456268400, 1456272000, 1456275600, 1456279200, 1456282800, 1456286400, 1456290000, 1456293600, 1456297200, 1456300800, 1456304400, 1456308000, 1456311600, 1456315200, 1456318800, 1456322400, 1456326000, 1456329600, 1456333200, 1456336800, 1456340400, 1456344000, 1456347600, 1456354800, 1456358400, 1456362000, 1456365600, 1456369200, 1456372800, 1456376400, 1456380000, 1456383600, 1456387200, 1456390800, 1456394400, 1456398000, 1456401600, 1456405200, 1456408800, 1456412400, 1456416000, 1456419600, 1456423200, 1456426800, 1456430400, 1456434000, 1456441200, 1456444800, 1456448400, 1456452000, 1456455600, 1456459200, 1456462800, 1456466400, 1456470000, 1456473600, 1456477200, 1456480800, 1456484400, 1456488000, 1456491600, 1456495200, 1456498800, 1456502400, 1456506000, 1456509600, 1456513200, 1456516800, 1456520400, 1456700400, 1456704000, 1456707600, 1456711200, 1456714800, 1456718400, 1456722000, 1456725600, 1456729200, 1456732800, 1456736400, 1456740000, 1456743600, 1456747200, 1456750800, 1456754400, 1456758000, 1456761600, 1456765200, 1456768800, 1456772400, 1456776000, 1456779600, 1456786800, 1456790400, 1456794000, 1456797600, 1456801200, 1456804800),
tzone = "", tclass = c("POSIXlt","POSIXt")), class = c("xts", "zoo"), .indexCLASS = c("POSIXlt", "POSIXt"), tclass = c("POSIXlt", "POSIXt"), .indexTZ = "", tzone = "", .CLASS = "double")
#THESE WORK AS INTENDED
SelectedDates <- DATSxts['2015-12-30::2015-12-31'] #get data between those dates
SelectedMonth <- DATSxts[.indexmon(DATSxts)==1] #get data for months February
SelectedDayYr <- DATSxts[.indexyday(DATSxts)==5] #get data for 5th trading days of the year
SelectedDayMon <- DATSxts[.indexmday(DATSxts)==10] #get data for 10th day of every month
SelectedDayWk <- DATSxts[.indexwday(DATSxts)==1] #get data for mondays
SelectedHour <- DATSxts[.indexhour(DATSxts)==08] #get data for 8AM
#THESE DO NOT WORK
SelectedYear <- DATSxts[.indexyear(DATSxts)==2016] #get data for year 2016
SelectedWeek <- DATSxts[.indexweek(DATSxts)==1] #get data for weeks 1
SelectedDay <- DATSxts[.indexday(DATSxts)==10] #get data for days 10
SelectedMin <- DATSxts[.indexmin(DATSxts)==30] #get data for every minute 30
****(Note: for some odd reason if I put all data/xts code in less than 8 lines loading the data gives an error message)****
Upvotes: 1
Views: 227
Reputation: 176648
Granted, these aren't well-documented, but there are .index*
functions that do what you want. A quick look at the source of a couple of the functions could have pointed you in the right direction. Take .indexyear
for example, and note that ?POSIXlt
says year
is years since 1900.
R> .indexyear
function (x)
{
as.POSIXlt(.POSIXct(.index(x)))$year
}
<environment: namespace:xts>
SelectedYear <- DATSxts[(1900+.indexyear(DATSxts))==2016] #data for year 2016
Week of the year is not simple, and looking at the source would not have likely helped... There are several different ways to count the weeks in a year. See the "%U"
, "%V"
, and "%W"
formats in ?strftime
.
SelectedWeek <- DATSxts[strftime(index(DATSxts),"%W")=="00"] #get data for weeks 1
.indexday
returns the day/date of the underlying index. Use .indexmday
if you want the day of the month.
SelectedDay <- DATSxts[.indexmday(DATSxts)==10] #get data for days 10
I'm not sure what you expect .indexmin
to do, since you do not have any data that occur on the 30th minute of any hour. The function below seems to be working as expected.
SelectedMin <- DATSxts[.indexmin(DATSxts)==30] #get data for every minute 30
Upvotes: 1
Reputation: 263342
You need to look at what .indexyear
actually returns:
> .indexyear(DATSxts[1,])
[1] 115
> length( DATSxts[.indexyear(DATSxts)==116] )
[1] 943
> head( DATSxts[.indexyear(DATSxts)==116] )
[,1]
2016-01-03 15:00:00 1063.1
2016-01-03 16:00:00 1064.6
2016-01-03 17:00:00 1063.5
2016-01-03 18:00:00 1064.3
2016-01-03 19:00:00 1063.7
2016-01-03 20:00:00 1065.3
The 1900 basis is probably a holdover from an effort to emulate Excel on Windows. The weeks and days values are also different than you apparently expected:
> table( .indexweek(DATSxts) )
2400 2401 2402 2403 2404 2405 2406 2407 2408 2409
58 115 115 111 115 116 116 111 115 28
> table( .indexday(DATSxts) )
16798 16799 16800 16803 16804 16805 16806 16807 16808 16810 16811 16812 16813 16814
12 23 22 1 23 23 23 23 22 1 23 23 23 23
16815 16817 16818 16819 16820 16821 16822 16824 16825 16826 16827 16828 16829 16831
22 1 19 23 23 23 22 1 23 23 23 23 22 1
16832 16833 16834 16835 16836 16838 16839 16840 16841 16842 16843 16845 16846 16847
23 23 23 23 23 1 23 23 24 23 22 1 19 23
16848 16849 16850 16852 16853 16854 16855 16856 16857 16859 16860 16861
23 23 22 1 23 23 23 23 22 1 23 5
Upvotes: 2