My code is not correct.
The idea is to use apply instead of a loop. more efficiency.
Karim
On Sun, Oct 11, 2015 at 6:42 AM, Omar André Gonzáles Díaz <
oma.gonza...@gmail.com> wrote:
> Thanks Karim. linio.tv is in the email. In the last part.
> El oct 11, 2015 12:39 AM, "Karim Mezhoud" <kmezh...@gmail.com> escribió:
>
>> Hi,
>> omit unlist and test. otherwise you can use apply function.
>>
>> draft:
>>
>> df1 <- apply(linio.tv, 1, function(x) strsplit(x[,idproductio],
>> "[^A-Z0-9-]+"))
>>
>> fct <- function(linio.tv){
>>
>> if(any(grep("[A-Z][0-9]", linio.tv[,idx_productio]))) {
>>
>> linio.tv[,idx(id)] <- linio.tv[,idx_productio]
>>
>> }
>>
>> else {
>> linio.tv[,idx(id)]<- NA
>> }
>> }
>>
>> df2 <- apply(df1, 1, function(x) fct(x))
>>
>> I can't test this draft because I have not linio.tv
>>
>>
>> Karim
>>
>>
>> for (i in 1:nrow(linio.tv)) {
>>
>> v <- unlist(strsplit(linio.tv$producto[i], "[^A-Z0-9-]+")) #
>> isolate tokens
>>
>> if(any(grep("[A-Z][0-9]", v))) {
>>
>> linio.tv$id[i] <- v[grep("[A-Z][0-9]", v)]
>>
>> }
>>
>> else {
>> linio.tv$id[i] <- NA
>> }
>> }
>>
>> On Sun, Oct 11, 2015 at 6:07 AM, Omar André Gonzáles Díaz <
>> oma.gonza...@gmail.com> wrote:
>>
>>> Hi Boris,
>>>
>>> I've modified a little the for loop to catch the IDs (if there is any)
>>> otherwise to put NAs. This is for another data set.
>>>
>>>
>>>
>>> for (i in 1:nrow(linio.tv)) {
>>>
>>> v <- unlist(strsplit(linio.tv$producto[i], "[^A-Z0-9-]+")) #
>>> isolate tokens
>>>
>>> if(any(grep("[A-Z][0-9]", v))) {
>>>
>>> linio.tv$id[i] <- v[grep("[A-Z][0-9]", v)]
>>>
>>> }
>>>
>>> else {
>>> linio.tv$id[i] <- NA
>>> }
>>> }
>>>
>>>
>>> I get this warning messages, nevertheless the IDs column get the correct
>>> values:
>>>
>>> Warning messages:
>>> 1: In linio.tv$id[i] <- v[grep("[A-Z][0-9]", v)] :
>>> number of items to replace is not a multiple of replacement length
>>> 2: In linio.tv$id[i] <- v[grep("[A-Z][0-9]", v)] :
>>> number of items to replace is not a multiple of replacement length
>>>
>>>
>>> The problem:
>>>
>>> There are entries where the grep part is not specific enough.
>>>
>>> Like this one: "UN50JU6500-NEGRO". It satifies the rule in:
>>>
>>> linio.tv$id[i] <- v[grep("[A-Z][0-9]", v)] , but is not supposed to
>>> take
>>> also: "UN50JU6500-NEGRO" entirely, only this part: "UN50JU6500".
>>>
>>>
>>> I've noticed this rule: the IDs can have at maxium 1 letter after the
>>> "-".
>>> If it contains more than 1, that part should not be considered.
>>>
>>> "TC-L42AS610"
>>>
>>> Also IDs can start with numbers: 1,2, or 3.
>>>
>>> "KDL-40R354B"
>>>
>>>
>>>
>>>
>>> May you clarify to me if it's something that can be done within R? I'm
>>> trying to figure this out, but with any good result.
>>>
>>> I could cleaned with "sub()" (there is only one entry giving me troubles)
>>> but the idea is not to have "technical debt" for the future.
>>>
>>>
>>>
>>>
>>> This is the new data set, I'm talking about:
>>>
>>>
>>>
>>>
>>>
>>>
>>> linio.tv <- structure(list(id = c(NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), marca = c("LG", "SAMSUNG",
>>> "SAMSUNG", "SAMSUNG", "LG", "LG", "LG", "LG", "LG", "LG", "LG",
>>> "SAMSUNG", "LG", "LG", "SAMSUNG", "LG", "LG", "LG", "LG", "SAMSUNG",
>>> "LG", "LG", "LG", "SONY", "SAMSUNG", "LG", "LG", "SAMSUNG", "SONY",
>>> "SAMSUNG", "LG", "LG", "LG", "IMACO", "SAMSUNG", "LG", "SAMSUNG",
>>> "SAMSUNG", "LG", "HAIER", "LG", "SONY", "SAMSUNG", "LG", "LG",
>>> "LG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SONY", "HISENSE", "LG",
>>> "SAMSUNG", "LG", "SAMSUNG", "LG", "SAMSUNG", "SAMSUNG", "CONTINENTAL",
>>> "LG", "IMACO", "AOC", "AOC", "SAMSUNG", "LG", "SONY", "LG", "LG",
>>> "SONY", "SAMSUNG", "SAMSUNG", "PANASONIC", "LG", "SAMSUNG", "NEX",
>>> "IMACO", "LG", "LG", "CONTINENTAL", "SONY", "LG", "LG", "SAMSUNG",
>>> "LG", "LG", "LG", "LG", "LG", "SAMSUNG", "LG", "LG", "SAMSUNG",
>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "AOC", "LG", "LG",
>>> "AOC", "LG", "SAMSUNG", "LG", "SAMSUNG", "SAMSUNG", "LG", "LG",
>>> "SAMSUNG", "SAMSUNG", "SONY", "LG", "SAMSUNG", "SAMSUNG", "LG",
>>> "SAMSUNG", "LG", "SAMSUNG", "LG", "SAMSUNG", "LG", "SAMSUNG",
>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "LG", "PANASONIC", "PANASONIC",
>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SONY",
>>> "LG", "LG", "PANASONIC", "AOC", "SAMSUNG", "LG", "SAMSUNG", "LG",
>>> "SAMSUNG", "LG", "LG", "LG", "PANASONIC", "PANASONIC", "LG",
>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG",
>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "LG", "SAMSUNG",
>>> "LG", "LG", "SAMSUNG", "LG"), producto = c("COMBO SMART - LG TV LED 4K
>>> ULTRA HD 43'' - 43UF6750 + GOO...",
>>> "SAMSUNG TV LED SMART HD 32'' UN32J4300 - NEGRO", "SAMSUNG TV LED 3D
>>> SMART
>>> FULL HD 48'' - 48J6400",
>>> "SAMSUNG TV LED 3D SMART FULL HD 55'' - 55J6400", "LG TV SMART LED HD
>>> 32\"
>>> 32LF585B - BLANCO",
>>> "LG TV SLIM ULTRA HD 3D WEBOS 2.0 49'' 49UF8500 - PLATEADO",
>>> "LG TV SMART WEBOS 2.0 FULL HD 43\" 43LF5900 -NEGRO", "LG TV LED HD 32\"
>>> -
>>> 32LF550B",
>>> "LG TV LED SMART FULL HD 43'' 43LF6350 - NEGRO", "LG TV LED SMART HD
>>> 32\"
>>> - 32LF585B",
>>> "LG GAME TV LED FULL HD 49\" - 49LF5410", "SAMSUNG TV LED FULL HD 60'' -
>>> UN60FH6003",
>>> "LG TV SMART WEBOS 2.0 FULL HD 49\" - 49LF6350", "LG TV LED FULL HD
>>> 43'' -
>>> 43LF5410",
>>> "SAMSUNG TV SMART FULL HD CURVO 40'' TIZEN - UN40J6500", "LG TV SMART
>>> WEBOS 2.0 ULTRA HD 4K 43\" - 43UF6400",
>>> "LG TV SLIM LED CINEMA 3D FULL HD 42'' 42LB6200 INCLUYE 02...",
>>> "LG GAMETV LED FULL HD 43\" - 43LF5400", "LG GAME TV LED FULL HD 49\" -
>>> 49LF5410",
>>> "TELEVISOR SAMSUNG UN40J5500 SMART TV LED FULL HD 40''-PLA...",
>>> "LG SMART 4K ULTRA HD 55\" - 55UB8200", "LG -TV LED SMART WEBOS 2.0 FULL
>>> HD 55\" - 55LF6350",
>>> "LG - GAME TV LED FULL HD 43'' - 43LF5410", "SONY - TV LED SMART HD
>>> 32'' -
>>> 32R505C",
>>> "SAMSUNG TV LED 3D SMART FULL HD 40'' - UN40H6400", "LG SMART TV 32\" HD
>>> WEBOS 2.0 32LF595B",
>>> "LG - TV LED WEBOS 3D SMART ULTRA HD CURVO 55'' 55UG8700 ...",
>>> "SAMSUNG TV LED FULL HD 40\" UN40JH5005 - NEGRO", "SONY TV LED FULL HD
>>> 40''
>>> - KDL-40R354B",
>>> "SAMSUNG TV LED SMART FULL HD 40'' TIZEN UN40J5500 - PLATEADO",
>>> "LG TV LED FULL HD 42'' ULTRA SLIM 42LY340C - NEGRO", "LG TV SMART LED
>>> FULL
>>> HD 43\" - 43LF6350",
>>> "LG TV LED CURVO 55\" SMART ULTRA HD 4K CINEMA 3D - 55UC9700",
>>> "IMACO - TV LED HD 24´´ - LED24HD", "TELEVISOR SAMSUNG UN32J4300 SMART TV
>>> LED HD 32''-NEGRO",
>>> "LG TV 3D SMART LED ULTRA HD 65\" - 65UF8500", "SAMSUNG - TV LED SMART 3D
>>> 65\" FULL HD SERIE 8 INTERACTIVO...",
>>> "SAMSUNG - TV LED HD 32\" 32JH4005 - NEGRO", "LG TV 55\" SMART ULTRA HD
>>> 4K
>>> CINEMA 3D 55UB8500",
>>> "HAIER TV LED HD LIVE GREEN 24'' - 24B8000", "LG TV LED FULL HD 47'' -
>>> 47LB5610",
>>> "SONY TV LED FULL HD 32'' - KDL-32R304B", "SAMSUNG TV LED SERIE 5 FULL HD
>>> 39” - 39FH5005",
>>> "LG - TV SAMT SLIM ULTRA HD 4K WEBOS 2.0 55'' 55UF7700 - P...",
>>> "LG TV LED CURVO 55\" SMART ULTRA HD 4K CINEMA 3D - 55UC9700",
>>> "LG TV MONITOR LED HD 23.6” - 24MT47A", "SAMSUNG - MONITOR LED 32\"
>>> MD32C -
>>> NEGRO",
>>> "TELEVISOR SAMSUNG UN40J6400 SMART TV LED 3D FULL HD 40''-...",
>>> "SAMSUNG LED SMART FULL HD 48'' - UN48J6500", "SONY - TV LED SMART FULL
>>> HD
>>> 40'' - 40R555C",
>>> "TELEVISOR HISENSE LED 40\" 40K221W SMART TV LED FULL HD", "LG TV MONITOR
>>> LED HD 23.6” - 24MT47A",
>>> "TELEVISOR SAMSUNG UN48J6400 SMART TV LED 3D FULL HD 48''-...",
>>> "LG 49UB8500 LED 49\" SMART 3D 4K", "SAMSUNG TV LED 3D SMART FULL HD 40''
>>> TIZEN UN40J6400 - NEGRO",
>>> "LG TV LED FULL HD 42\" - 42LY340C", "SAMSUNG TV LED HD 32'' UN32J4000 -
>>> NEGRO",
>>> "TELEVISOR SAMSUNG UN48J5500 SMART TV LED FULL HD 48''-PLA...",
>>> "CONTINENTAL - TV LED 15.6\" CELED95935, INCLUYE RACK", "LG TV LED 4K
>>> ULTRA
>>> HD 43\" - 43UF6750",
>>> "IMACO - TV LED HD 16´´ - LED16HD", "AOC - TELEVISOR HD 32\" LE32W454F-
>>> NEGRO",
>>> "AOC TV LED HD 20\" - LE20A1140", "SAMSUNG TV LED HD 32'' - UN32J4000",
>>> "LG - TV MONITOR 27.5” - 28MT47B", "SONY TV LED FULL HD 40'' -
>>> KDL-40R354B",
>>> "LG TV MONITOR LED HD 23.6” - 24MT47A", "LG GAME TV LED FULL HD 49\" -
>>> 49LF5410",
>>> "SONY TV LED FULL HD 40'' - KDL-40R354B", "SAMSUNG - UN48J6400 LED FULL
>>> HD
>>> 48\"SMART TIZEN 3D 2015 - ...",
>>> "SAMSUNG - MONITOR FULL HD 40\" MD40C - NEGRO", "PANASONIC LED SMART FULL
>>> HD 50\" - TC-50AS600",
>>> "LG - 43LF5410 LED 43\" FULL HD GAME - SILVER", "SAMSUNG - TELEVISOR LED
>>> HD 32\" UN32JH4005 - NEGRO",
>>> "NEX TV LED SMART HD 32\" USB WIFI INCORPORADO - LED3208SMR",
>>> "IMACO - TV LED HD 19´´ - LED19HD", "LG -TV LED HG 32\" - 32LF550B",
>>> "LG - TELEVISOR LED 32\" HD 32LF550B", "CONTINENTAL - TV LED 19\"
>>> CELED99935, INCLUYE RACK",
>>> "SONY TV LED FULL HD 40'' - KDL-40R354B", "LG - TELEVISOR LED 32\" HD
>>> SMART
>>> TV 32LF585B - BLANCO",
>>> "MONITOR TV LG 24MT47A LED HD 23.6”-PLATEADO", "TELEVISOR SAMSUNG
>>> UN32J4300
>>> SMART TV LED HD 32''-NEGRO",
>>> "LG GAME TV LED FULL HD 49\" - 49LF5400", "LG - TELEVISOR LED 32\" HD
>>> SMART
>>> TV 32LF585B – BLANCO",
>>> "LG - TELEVISOR LED 32\" HD 32LF550B", "LG TV LED HD 32'' - 32LF550B",
>>> "LG TV LED SMART HD 32'' - 32LF585B", "SAMSUNG - TELEVISOR LED FULL HD
>>> 40\"
>>> UN40JH5005 – NEGRO",
>>> "LG LED FULL HD SMART TV 42''42LF5850 - PLATEADO", "LG TV LED WEBOS 3D
>>> SMART ULTRA HD 49'' - 49UF8500",
>>> "SAMSUNG - TV LED SMART FULL HD 40” UN40H5500 - NEGRO", "SAMSUNG TV LED
>>> SMART HD 32'' UN32J4300 - NEGRO",
>>> "SAMSUNG TV LED ALTA DEFINICIÓN DTV USB 32\" - 32JH4005", "SAMSUNG -
>>> TELEVISOR LED FULL HD 40\" UN40JH5005 - NEGRO",
>>> "SAMSUNG TV LED SMART TIZEN 3D QUADCORE40\" - UN40J6400", "AOC TV LED HD
>>> 32\" - LE32W454F +RACK FIJO",
>>> "LG TV LED FULL HD 43'' - 43LF5410", "LG - TV LED WEBOS 3D SMART FULL HD
>>> 55'' - 55LF6500",
>>> "AOC 32\" LE32W454F HD DIGITAL LED TV + HOME THEATRE F1200U",
>>> "LG TV LED WEBOS 3D SMART ULTRA HD 49'' - 49UF8500", "SAMSUNG TV LED ALTA
>>> DEFINICIÓN DTV USB 32\" - 32JH4005",
>>> "LG - 42LF6400 LED FULL HD 42'' SMART WEBOS 3D - SILVER", "TELEVISOR
>>> SAMSUNG UN48J5300 SMART TV LED FULL HD 48''-NEGRO",
>>> "SAMSUNG UN40JH5005 LED FULL HD 40\" - NEGRO GLOSS", "LG - 24MT47A +
>>> MONITOR TV 24\" PUERTOS HDMI, USB, AV - NEG...",
>>> "LG TV LED SMART 4K ULTRA HD 55\" - 55UB8200", "SAMSUNG - 55J6400 LED
>>> 55\"
>>> SMART TIZEN 3D - BLACK",
>>> "SAMSUNG TV CURVED SMART ULTRA HD 48'' TIZEN UN48JU6700 - ...",
>>> "TELEVISIÓN SONY KDL-32R505C LED 32\"-NEGRO", "LG TV LED CINEMA 3D 4K
>>> SMART
>>> ULTRA HD 49'' + 02 LENTES 3D...",
>>> "SAMSUNG - 55J6400 LED 55\" SMART TIZEN 3D - BLACK", "SAMSUNG - 40J5500
>>> LED
>>> 40\" SMART QUADCORE / BLUETOOTH* - S...",
>>> "LG TV LED WEBOS 3D SMART ULTRA HD 49'' - 49UF8500", "SAMSUNG TV LED
>>> SMART
>>> FULL HD 40'' TIZEN UN40J5500 - PLATEADO",
>>> "LG - TELEVISOR LED 42\" FULL HD SMART TV 42LF5850 – PLAT...",
>>> "TELEVISIÓN SAMSUNG UN48J5500 LED SMART TV 48\"-PLATEADO", "LG -
>>> TELEVISOR
>>> LED 42\" FULL HD SMART TV 42LF5850 - PLATEADO",
>>> "TELEVISOR SAMSUNG UN55JU6700 LED UHD 4K SMART 55'' - PLA...",
>>> "LG - TV LED WEBOS 3D SMART SUPER ULTRA HD 55'' - 55UF9500",
>>> "TELEVISOR SAMSUNG UN50JU6500 UHD 4K SMART 50'' - PLATEADO",
>>> "SAMSUNG - TELEVISOR LED HD 40\" SMART UN40J5500 - NEGRO", "TELEVISOR
>>> SAMSUNG UN48J6500 CURVO FULL HD SMART 48'' - P...",
>>> "SAMSUNG - TELEVISOR LED HD 32\" SMART UN32J4300 - NEGRO", "LG TV LED
>>> CINEMA 3D 4K SMART ULTRA HD 55'' 55UB8500 - NEGRO",
>>> "TELEVISIÓN PANASONIC TC-L40SV7L LED FULL-HD 40''-NEGRO", "PANASONIC TV
>>> LED
>>> 42´´ FULL HD TC-L42E6L - NEGRO.",
>>> "TELEVISOR SAMSUNG UN 40JH5005 LED FULL HD", "SAMSUNG - TV LED SMART
>>> CURVO
>>> 3D ULTRA HD 65” UN65HU9000...",
>>> "SAMSUNG - UN48J5300 LED FULL HD SMART 2015 - BLACK", "SAMSUNG TV LED
>>> SMART
>>> FULL HD 50'' TIZEN UN50J5500 - PLATEADO",
>>> "SAMSUNG - TV SMART 3D FULL HD 60” UN60H7100 - NEGRO", "SONY - TELEVISOR
>>> LED SMART TV FULL HD 40'' KDL-40R555C - ...",
>>> "LG TV 47\" LED FULL HD - 47LY340C", "LG TV UHD 4K 65UB9800 SMART 3D LED
>>> TV
>>> C/WEBOS 65' LENTES 3D",
>>> "PANASONIC - TELEVISOR TC-L42AS610 LED SMART FULL HD 42”...",
>>> "AOC - TELEVISOR LED 32\" - LE32W454F", "SAMSUNG TV LED 32¨ -
>>> UN32FH4005G",
>>> "LG TV SMART LED FULL HD 42\" - 42LF5850", "SAMSUNG TV LED 3D SMART FULL
>>> HD
>>> 40'' TIZEN UN40J6400 - NEGRO",
>>> "LG TV SMART LED FULL HD 42\" - 42LF5850", "SAMSUNG TV LED HD 32''
>>> UN32JH4005 - NEGRO",
>>> "LG TV PLASMA 2014 60\" FULL HD 1080P - 60PB5600", "LG TV LED CINEMA 3D
>>> SMART FULL HD 55'' 55LB7050 - PLATEADO",
>>> "LG TV LED SMART FULL HD 43'' 43LF6350 - NEGRO", "PANASONIC PUERTO USB
>>> LED
>>> 40\" - TC-L40SV7L",
>>> "PANASONIC LED SMART FULL HD 42\" - TC-L42AS610", "LG TV SMART LED FULL
>>> HD
>>> 49\" - 49LF6350",
>>> "SAMSUNG TV LED SMART ULTRA HD 50'' TIZEN UN50JU6500-NEGRO",
>>> "SAMSUNG TV LED SMART ULTRA HD 50'' TIZEN UN50JU6500 - NEGRO",
>>> "SAMSUNG TV SMART FULL HD CURVO 48'' TIZEN UN48J6500", "SAMSUNG TV SMART
>>> ULTRA HD 4K 65'' - UN65JU6500",
>>> "SAMSUNG UN48J5500 LED 48\" - PLATEADO", "SAMSUNG LED 32\" CONEXIÓN WIFI
>>> -
>>> UN32J4300",
>>> "SAMSUNG LED SMART 40'' CONEXIÓN WI-FI DIRECT - UN40J5500", "SAMSUNG LED
>>> SMART ULTRA HD 55\" - TVUN55JU6700",
>>> "SAMSUNG TV CURVED 3D SMART ULTRA HD 65'' TIZEN UN65JU7500...",
>>> "SAMSUNG TELEVISOR HG32NB460GF, 32\" LED, HD, 1366 X 768", "LG -TV SMART
>>> LED FULL HD 55\" - 55LF6350",
>>> "SAMSUNG TV LED SMART 3D 48\" - UN48H6400", "LG LED ULTRAHD 4K 49\" SMART
>>> 3D - 49UB8300",
>>> "LG - TV LED SMART HD 32'' 32LF585B - PLATEADO", "SAMSUNG - TV LED FULL
>>> HD
>>> 40\" UN40JH5005 - NEGRO GLOSS",
>>> "LG - TV LED FULL HD 43'' 43LF5410 - PLATEADO"), precio.antes = c(2599L,
>>> 1299L, 2899L, 3999L, 1199L, 4499L, 1999L, 1099L, 2299L, 1299L,
>>> 2499L, 3999L, 2199L, 1899L, 2299L, 2299L, 1799L, 1499L, 2299L,
>>> 1999L, 3999L, 3499L, 1549L, 1299L, 2299L, 2299L, 6999L, 1499L,
>>> 1499L, 1899L, 1499L, 2099L, 6999L, 599L, 1299L, 9999L, 8999L,
>>> 999L, 5999L, 599L, 2299L, 1299L, 1499L, 4999L, 6999L, 899L, 2299L,
>>> 2499L, 3299L, 1799L, 1399L, 899L, 2499L, 4199L, 2299L, 1499L,
>>> 1099L, 2499L, 399L, 2499L, 399L, 999L, 599L, 999L, 899L, 1499L,
>>> 699L, 2299L, 1399L, 2499L, 2999L, 2499L, 1599L, 1149L, 999L,
>>> 499L, 1089L, 1099L, 499L, 1499L, 1399L, 799L, 1299L, 2499L, 1399L,
>>> 1259L, 1299L, 1299L, 1599L, 1999L, 3999L, 1999L, 1199L, 999L,
>>> 1599L, 2299L, 999L, 1499L, 3699L, 1199L, 3899L, 1099L, 2299L,
>>> 2499L, 1399L, 729L, 4199L, 3599L, 4999L, 1399L, 3999L, 4999L,
>>> 2199L, 4499L, 2299L, 1699L, 2779L, 1699L, 5799L, 8999L, 3699L,
>>> 2099L, 3299L, 1299L, 5900L, 1799L, 1799L, 1399L, 14999L, 2499L,
>>> 2799L, 6299L, 1799L, 2417L, 9500L, 1799L, 799L, 999L, 1999L,
>>> 2499L, 1899L, 999L, 2299L, 3699L, 2199L, 1699L, 1999L, 2499L,
>>> 3499L, 3899L, 2999L, 7999L, 2299L, 1299L, 2099L, 5799L, 9999L,
>>> 1110L, 3399L, 2799L, 3899L, 1299L, 1399L, 1499L), precio.nuevo = c(1799L,
>>> 999L, 2299L, 3299L, 999L, 3199L, 1499L, 849L, 1399L, 979L, 1795L,
>>> 2999L, 1899L, 1299L, 1699L, 1599L, 1499L, 1299L, 1699L, 1449L,
>>> 3699L, 2499L, 1199L, 999L, 1499L, 899L, 4999L, 1199L, 1199L,
>>> 1389L, 1299L, 1699L, 4899L, 549L, 999L, 7499L, 6700L, 849L, 4299L,
>>> 549L, 1499L, 899L, 1299L, 3599L, 5354L, 538L, 1959L, 1599L, 2999L,
>>> 1367L, 1099L, 589L, 2449L, 3199L, 1529L, 1229L, 839L, 1779L,
>>> 329L, 1799L, 389L, 719L, 489L, 849L, 799L, 1185L, 599L, 1609L,
>>> 1299L, 2179L, 2839L, 1999L, 1599L, 899L, 799L, 449L, 880L, 899L,
>>> 429L, 1275L, 1199L, 589L, 999L, 1749L, 1199L, 1099L, 899L, 989L,
>>> 1399L, 1999L, 2999L, 1599L, 999L, 819L, 1299L, 2299L, 789L, 1299L,
>>> 3199L, 977L, 3089L, 849L, 1719L, 1799L, 1399L, 569L, 3979L, 3299L,
>>> 3369L, 1093L, 3389L, 3289L, 1419L, 3429L, 1405L, 1499L, 1899L,
>>> 1499L, 5199L, 6999L, 3199L, 1599L, 2999L, 1099L, 5089L, 1459L,
>>> 1499L, 1289L, 12999L, 1739L, 2255L, 5879L, 1499L, 1929L, 8499L,
>>> 1649L, 799L, 899L, 1659L, 1749L, 1609L, 831L, 2089L, 3659L, 1769L,
>>> 1499L, 1599L, 2176L, 2749L, 2889L, 2899L, 5599L, 1899L, 1099L,
>>> 1899L, 5199L, 8589L, 990L, 3169L, 2199L, 3899L, 949L, 1099L,
>>> 1199L), dif.precios = c(800L, 300L, 600L, 700L, 200L, 1300L,
>>> 500L, 250L, 900L, 320L, 704L, 1000L, 300L, 600L, 600L, 700L,
>>> 300L, 200L, 600L, 550L, 300L, 1000L, 350L, 300L, 800L, 1400L,
>>> 2000L, 300L, 300L, 510L, 200L, 400L, 2100L, 50L, 300L, 2500L,
>>> 2299L, 150L, 1700L, 50L, 800L, 400L, 200L, 1400L, 1645L, 361L,
>>> 340L, 900L, 300L, 432L, 300L, 310L, 50L, 1000L, 770L, 270L, 260L,
>>> 720L, 70L, 700L, 10L, 280L, 110L, 150L, 100L, 314L, 100L, 690L,
>>> 100L, 320L, 160L, 500L, 0L, 250L, 200L, 50L, 209L, 200L, 70L,
>>> 224L, 200L, 210L, 300L, 750L, 200L, 160L, 400L, 310L, 200L, 0L,
>>> 1000L, 400L, 200L, 180L, 300L, 0L, 210L, 200L, 500L, 222L, 810L,
>>> 250L, 580L, 700L, 0L, 160L, 220L, 300L, 1630L, 306L, 610L, 1710L,
>>> 780L, 1070L, 894L, 200L, 880L, 200L, 600L, 2000L, 500L, 500L,
>>> 300L, 200L, 811L, 340L, 300L, 110L, 2000L, 760L, 544L, 420L,
>>> 300L, 488L, 1001L, 150L, 0L, 100L, 340L, 750L, 290L, 168L, 210L,
>>> 40L, 430L, 200L, 400L, 323L, 750L, 1010L, 100L, 2400L, 400L,
>>> 200L, 200L, 600L, 1410L, 120L, 230L, 600L, 0L, 350L, 300L, 300L
>>> ), dif.porcentual = c(30.78, 23.09, 20.7, 17.5, 16.68, 28.9,
>>> 25.01, 22.75, 39.15, 24.63, 28.17, 25.01, 13.64, 31.6, 26.1,
>>> 30.45, 16.68, 13.34, 26.1, 27.51, 7.5, 28.58, 22.6, 23.09, 34.8,
>>> 60.9, 28.58, 20.01, 20.01, 26.86, 13.34, 19.06, 30, 8.35, 23.09,
>>> 25, 25.55, 15.02, 28.34, 8.35, 34.8, 30.79, 13.34, 28.01, 23.5,
>>> 40.16, 14.79, 36.01, 9.09, 24.01, 21.44, 34.48, 2, 23.82, 33.49,
>>> 18.01, 23.66, 28.81, 17.54, 28.01, 2.51, 28.03, 18.36, 15.02,
>>> 11.12, 20.95, 14.31, 30.01, 7.15, 12.81, 5.34, 20.01, 0, 21.76,
>>> 20.02, 10.02, 19.19, 18.2, 14.03, 14.94, 14.3, 26.28, 23.09,
>>> 30.01, 14.3, 12.71, 30.79, 23.86, 12.51, 0, 25.01, 20.01, 16.68,
>>> 18.02, 18.76, 0, 21.02, 13.34, 13.52, 18.52, 20.77, 22.75, 25.23,
>>> 28.01, 0, 21.95, 5.24, 8.34, 32.61, 21.87, 15.25, 34.21, 35.47,
>>> 23.78, 38.89, 11.77, 31.67, 11.77, 10.35, 22.22, 13.52, 23.82,
>>> 9.09, 15.4, 13.75, 18.9, 16.68, 7.86, 13.33, 30.41, 19.44, 6.67,
>>> 16.68, 20.19, 10.54, 8.34, 0, 10.01, 17.01, 30.01, 15.27, 16.82,
>>> 9.13, 1.08, 19.55, 11.77, 20.01, 12.93, 21.43, 25.9, 3.33, 30,
>>> 17.4, 15.4, 9.53, 10.35, 14.1, 10.81, 6.77, 21.44, 0, 26.94,
>>> 21.44, 20.01), pulgadas = c("43", "32", "48", "55", "32", "49",
>>> "43", "32", "43", "32", "49", "60", "49", "43", "40", "43", "42",
>>> "43", "49", "40", "55", "55", "43", "32", "40", "32", "55", "40",
>>> "40", "40", "42", "43", "55", "24", "32", "65", "65", "32", "55",
>>> "24", "47", "32", "39", "55", "55", "6", "32", "40", "48", "40",
>>> "40", "6", "48", "49", "40", "42", "32", "48", "6", "43", "16",
>>> "32", "20", "32", "5", "40", "6", "49", "40", "48", "40", "50",
>>> "43", "32", "32", "19", "32", "32", "19", "40", "32", "6", "32",
>>> "49", "32", "32", "32", "32", "40", "42", "49", "40", "32", "32",
>>> "40", "40", "32", "43", "55", "32", "49", "32", "42", "48", "40",
>>> "24", "55", "55", "48", "32", "49", "55", "40", "49", "40", "42",
>>> "48", "42", "55", "55", "50", "40", "48", "32", "55", "40", "42",
>>> "NA", "65", "NA", "50", "60", "40", "47", "65", "42", "32", "32",
>>> "42", "40", "42", "32", "60", "55", "43", "40", "42", "49", "50",
>>> "50", "48", "65", "48", "32", "40", "55", "65", "32", "55", "48",
>>> "49", "32", "40", "43"), rangos = c("S/.1500 - S/.2500", "S/.500 -
>>> S/.1500",
>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.500 - S/.1500",
>>> "S/.2500 - S/.3500", "S/.500 - S/.1500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500",
>>> "S/.2500 - S/.3500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.3500 - S/.4500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500", "> S/.4,500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 -
>>> S/.1500",
>>> "S/.1500 - S/.2500", "> S/.4,500", "S/.500 - S/.1500", "S/.500 -
>>> S/.1500",
>>> "> S/.4,500", "> S/.4,500", "S/.500 - S/.1500", "S/.3500 - S/.4500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 -
>>> S/.1500",
>>> "S/.3500 - S/.4500", "> S/.4,500", "S/.500 - S/.1500", "S/.1500 -
>>> S/.2500",
>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500",
>>> "S/.2500 - S/.3500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.1500 - S/.2500", "< S/.500", "S/.1500 - S/.2500",
>>> "< S/.500", "S/.500 - S/.1500", "< S/.500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 -
>>> S/.2500",
>>> "S/.500 - S/.1500", "S/.1500 - S/.2500", "S/.2500 - S/.3500",
>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "< S/.500", "S/.500 - S/.1500", "S/.500 - S/.1500",
>>> "< S/.500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 -
>>> S/.1500",
>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.1500 - S/.2500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 -
>>> S/.2500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.2500 - S/.3500",
>>> "S/.500 - S/.1500", "S/.2500 - S/.3500", "S/.500 - S/.1500",
>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.3500 - S/.4500", "S/.2500 - S/.3500",
>>> "S/.2500 - S/.3500", "S/.500 - S/.1500", "S/.2500 - S/.3500",
>>> "S/.2500 - S/.3500", "S/.500 - S/.1500", "S/.2500 - S/.3500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500",
>>> "S/.500 - S/.1500", "> S/.4,500", "> S/.4,500", "S/.2500 - S/.3500",
>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.500 - S/.1500",
>>> "> S/.4,500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500",
>>> "> S/.4,500", "S/.1500 - S/.2500", "S/.1500 - S/.2500", "> S/.4,500",
>>> "S/.500 - S/.1500", "S/.1500 - S/.2500", "> S/.4,500", "S/.1500 -
>>> S/.2500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500",
>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> "S/.1500 - S/.2500", "S/.3500 - S/.4500", "S/.1500 - S/.2500",
>>> "S/.500 - S/.1500", "S/.1500 - S/.2500", "S/.1500 - S/.2500",
>>> "S/.2500 - S/.3500", "S/.2500 - S/.3500", "S/.2500 - S/.3500",
>>> "> S/.4,500", "S/.1500 - S/.2500", "S/.500 - S/.1500", "S/.1500 -
>>> S/.2500",
>>> "> S/.4,500", "> S/.4,500", "S/.500 - S/.1500", "S/.2500 - S/.3500",
>>> "S/.1500 - S/.2500", "S/.3500 - S/.4500", "S/.500 - S/.1500",
>>> "S/.500 - S/.1500", "S/.500 - S/.1500")), .Names = c("id", "marca",
>>> "producto", "precio.antes", "precio.nuevo", "dif.precios",
>>> "dif.porcentual",
>>> "pulgadas", "rangos"), class = "data.frame", row.names = c(NA,
>>> -164L))
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2015-10-10 11:55 GMT-05:00 Omar André Gonzáles Díaz <
>>> oma.gonza...@gmail.com>
>>> :
>>>
>>> > Thank you very much to both of you. This information is very
>>> enlightening
>>> > to me.
>>> >
>>> > Cheers.
>>> >
>>> >
>>> > 2015-10-10 1:11 GMT-05:00 Boris Steipe <boris.ste...@utoronto.ca>:
>>> >
>>> >> David answered most of this. Just a two short notes inline.
>>> >>
>>> >>
>>> >>
>>> >>
>>> >> On Oct 10, 2015, at 12:38 AM, Omar André Gonzáles Díaz <
>>> >> oma.gonza...@gmail.com> wrote:
>>> >>
>>> >> > David, Boris, so thankfull for your help. Both approaches are very
>>> >> good. I got this solve with David's help.
>>> >> >
>>> >> > I find very insteresting Bori's for loop. And I need a little help
>>> >> understanding the regex part on it.
>>> >> >
>>> >> > - The strsplit function: strsplit(ripley.tv$producto[i],
>>> "[^A-Z0-9-]+")
>>> >> >
>>> >> > I understand for this: split every row by a sequence of any number
>>> or
>>> >> letter or "-" that appears at leat once (+ operator).
>>> >> >
>>> >> > 1.- What does mena the "^" symbol? If you remove it, just appeare
>>> >> blanks.
>>> >> > 2.- Why is there the necessity of "+" after the closing "]"?
>>> >> >
>>> >> > 3.- How this: ripley.tv$id[i] <- v[grep("[A-Z][0-9]", v)]
>>> >> > Identifies also the IDs where "-" is present. Here the regex
>>> does
>>> >> not have the "-" included.
>>> >>
>>> >> Yes. I am not matching the entire token here. Note there is no "+":
>>> The
>>> >> two character-class expressions match exactly one uppercase character
>>> >> adjacent to exactly one number. If this is found in a token, grep
>>> returns
>>> >> TRUE. It doesn't matter what else the token contains - the first regex
>>> >> already took care of removing everything that's not needed. The
>>> vector of
>>> >> FALSEs and a single TRUE that grep() returns goes inside the square
>>> >> brackets, and selects the token from v.
>>> >>
>>> >>
>>> >>
>>> >> > Also, I notice that David used the "-" at the begining of the
>>> matching:
>>> >> [-A-Z0-9], without the "^" (stars with) at the beginning.
>>> >>
>>> >> This can be very confusing about regular expressions: the same
>>> character
>>> >> can mean different things depending on where it is found. Between two
>>> >> characters in a character class expresssion, the hyphen means "range".
>>> >> Elsewhere it is a literal hyphen. David put his at the beginning, I
>>> had it
>>> >> at the end (in the first regex). Another tricky character is "?"
>>> which can
>>> >> mean 0,1 matches, or turn "greedy" matching off...
>>> >>
>>> >> Online regex testers are invaluable to develop a regex - one I
>>> frequently
>>> >> use is regexpal.com
>>> >>
>>> >> Cheers,
>>> >> B.
>>> >>
>>> >>
>>> >> >
>>> >> > I would appreciate a response from you, gentlemen.
>>> >> >
>>> >> > Thanks again.
>>> >> >
>>> >> >
>>> >> >
>>> >> >
>>> >> >
>>> >> >
>>> >> >
>>> >> >
>>> >> >
>>> >> >
>>> >> >
>>> >> > 2015-10-09 18:32 GMT-05:00 David Winsemius <dwinsem...@comcast.net
>>> >:
>>> >> >
>>> >> > On Oct 9, 2015, at 4:21 PM, Boris Steipe wrote:
>>> >> >
>>> >> > > I think you are going into the wrong direction here and this is a
>>> >> classical example of what we mean by "technical debt" of code. Rather
>>> than
>>> >> tell to your regular expression what you are looking for, you are
>>> handling
>>> >> special cases with redundant code. This is ugly, brittle and
>>> impossible to
>>> >> maintain.
>>> >> > >
>>> >> > > Respect to you that you have recognized this.
>>> >> > >
>>> >> > >
>>> >> > > The solution is rather simple:
>>> >> > >
>>> >> > > A) Isolate tokens. Your IDs contain only a limited set of
>>> characters.
>>> >> Split your strings along the characters that are not found in IDs to
>>> >> isolate candidate tokens, place them into a vector.
>>> >> > >
>>> >> > > B) Evaluate your tokens: as far as I can see IDs all contain
>>> letters
>>> >> AND numbers. This is a unique characteristic. Thus it is sufficient
>>> to grep
>>> >> for a letter/number pair in a token to identify it as an ID.
>>> >> > >
>>> >> > > Should you ever find a need to accommodate differently formed IDs,
>>> >> there are only two, well defined places with clearly delegated roles
>>> where
>>> >> changes might be needed.
>>> >> > >
>>> >> > > Here is the code:
>>> >> > >
>>> >> > > for (i in 1:nrow(ripley.tv)) {
>>> >> > > v <- unlist(strsplit(ripley.tv$producto[i],
>>> "[^A-Z0-9-]+")) #
>>> >> isolate tokens
>>> >> > > ripley.tv$id[i] <- v[grep("[A-Z][0-9]", v)] # identify IDs
>>> >> and store
>>> >> > > }
>>> >> >
>>> >> > That logic actually simplifies the regex strategy as well:
>>> >> >
>>> >> > sub("(.*[ \n])([-A-Z0-9]{6,12})(.*)", "\\2",
>>> >> > ripley.tv$producto,
>>> >> > ignore.case = T)
>>> >> >
>>> >> >
>>> >> > Almost succeeds, with a few all-character words, but if you require
>>> one
>>> >> number in the middle you get full results:
>>> >> >
>>> >> > sub("(.*[ \n])([-A-Z0-9]{3,6}[0-9][-A-Z0-9]{2,6})(.*)", "\\2",
>>> >> > ripley.tv$producto,
>>> >> > ignore.case = T)
>>> >> >
>>> >> > [1] "48J6400" "40J5300" "TC-40CS600L" "LE28F6600"
>>> >> "LE40K5000N"
>>> >> > [6] "LE32B7000" "LE32K5000N" "LE55B8000" "LE40B8000"
>>> "LE24B8000"
>>> >> > [11] "TC-42AS610" "LE50K5000N" "40JU6500" "48JU6500"
>>> "50JU6500"
>>> >> > [16] "55JS9000" "55JU6500" "55JU6700" "55JU7500"
>>> "65JS9000"
>>> >> > [21] "65JU6500" "65JU7500" "75JU6500" "40LF6350"
>>> "42LF6400"
>>> >> > [26] "42LF6450" "49LF6450" "LF6400" "43UF6750"
>>> "49UF6750"
>>> >> > [31] "UF6900" "49UF7700" "49UF8500" "55UF7700"
>>> "65UF7700"
>>> >> > [36] "55UF8500" "TC-55CX640W" "TC-50CX640W" "70UF7700"
>>> "UG8700"
>>> >> > [41] "LF6350" "KDL-50FA95C" "KDL50W805C" "KDL-40R354B"
>>> "40J5500"
>>> >> > [46] "50J5500" "32JH4005" "50J5300" "48J5300"
>>> "40J6400"
>>> >> > [51] "KDL-32R505C" "KDL-40R555C" "55J6400" "40JH5005"
>>> "43LF5410"
>>> >> > [56] "32LF585B" "49LF5900" "KDL-65W855C" "UN48J6500"
>>> "LE40F1551"
>>> >> > [61] "TC-32AS600L" "KDL-32R304B" "55EC9300" "LE32W454F"
>>> "58UF8300"
>>> >> > [66] "KDL-55W805C" "XBR-49X835C" "XBR-55X855C" "XBR-65X905C"
>>> >> "XBR-75X945C"
>>> >> > [71] "XBR-55X905C" "LC60UE30U" "LC70UE30U" "LC80UE30U"
>>> "48J5500"
>>> >> > [76] "79UG8800" "65UF9500" "65UF8500" "55UF9500"
>>> "32J4300"
>>> >> > [81] "KDL-48R555C" "55UG8700" "60UF8500" "55LF6500"
>>> "32LF550B"
>>> >> > [86] "47LB5610" "TC-50AS600L" "XBR-55X855B" "LC70SQ17U"
>>> >> "XBR-79X905B"
>>> >> > [91] "TC-40A400L" "XBR-70X855B" "55HU8700" "LE40D3142"
>>> >> "TC-42AS650L"
>>> >> > [96] "LC70LE660" "LE58D3140"
>>> >> >
>>> >> > >
>>> >> > >
>>> >> > >
>>> >> > > Cheers,
>>> >> > > Boris
>>> >> > >
>>> >> > >
>>> >> > >
>>> >> > > On Oct 9, 2015, at 5:48 PM, Omar André Gonzáles Díaz <
>>> >> oma.gonza...@gmail.com> wrote:
>>> >> > >
>>> >> > >>>>> ripley.tv <- structure(list(id = c(NA, NA, NA, NA, NA, NA,
>>> NA,
>>> >> NA,
>>> >> > >>> NA, NA,
>>> >> > >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA,
>>> >> > >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA,
>>> >> > >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA,
>>> >> > >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA,
>>> >> > >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>> NA,
>>> >> > >>>>> NA, NA, NA, NA, NA, NA, NA), marca = c("SAMSUNG", "SAMSUNG",
>>> >> > >>>>> "PANASONIC", "HAIER", "HAIER", "HAIER", "HAIER", "HAIER",
>>> "HAIER",
>>> >> > >>>>> "HAIER", "PANASONIC", "HAIER", "SAMSUNG", "SAMSUNG",
>>> "SAMSUNG",
>>> >> > >>>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG",
>>> "SAMSUNG",
>>> >> > >>>>> "SAMSUNG", "SAMSUNG", "LG", "LG", "LG", "LG", "LG", "LG",
>>> "LG",
>>> >> > >>>>> "LG", "LG", "LG", "LG", "LG", "LG", "PANASONIC", "PANASONIC",
>>> >> > >>>>> "LG", "LG", "LG", "SONY", "SONY", "SONY", "SAMSUNG",
>>> "SAMSUNG",
>>> >> > >>>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SONY", "SONY",
>>> >> "SAMSUNG",
>>> >> > >>>>> "SAMSUNG", "LG", "LG", "LG", "SONY", "SAMSUNG", "AOC",
>>> >> "PANASONIC",
>>> >> > >>>>> "SONY", "LG", "AOC", "LG", "SONY", "SONY", "SONY", "SONY",
>>> "SONY",
>>> >> > >>>>> "SONY", "SHARP", "SHARP", "SHARP", "SAMSUNG", "LG", "LG",
>>> "LG",
>>> >> > >>>>> "LG", "SAMSUNG", "SONY", "LG", "LG", "LG", "LG", "LG",
>>> >> "PANASONIC",
>>> >> > >>>>> "SONY", "SHARP", "SONY", "PANASONIC", "SONY", "SAMSUNG",
>>> "AOC",
>>> >> > >>>>> "PANASONIC", "SHARP", "AOC"), producto = c("SMART TV LED FHD
>>> 48\"
>>> >> 3D
>>> >> > >>>>> 48J6400",
>>> >> > >>>>> "SMART TV LED FHD 40\" 40J5300", "TV LED FULL HD 40''
>>> >> TC-40CS600L",
>>> >> > >>>>> "TELEVISOR LED LE28F6600 28\"", "SMART TV 40\" HD LE40K5000N",
>>> >> > >>>>> "TV LED HD 32'' LE32B7000", "SMART TV 32'' LE32K5000N", "TV
>>> LED
>>> >> FHD
>>> >> > >>> 55\" -
>>> >> > >>>>> LE55B8000",
>>> >> > >>>>> "TV LED LE40B8000 FULL HD 40\"", "TV LE24B8000 LED HD 24\" -
>>> >> NEGRO",
>>> >> > >>>>> "TV LED FULL HD 42'' TC-42AS610", "TELEVISOR LED LE50K5000N
>>> 50\"",
>>> >> > >>>>> "SMART TV LED UHD 40\" 40JU6500", "SMART TV ULTRA HD 48''
>>> >> 48JU6500",
>>> >> > >>>>> "SMART TV 50JU6500 LED UHD 50\" - NEGRO", "SMART TV ULTRA HD
>>> 55''
>>> >> 3D
>>> >> > >>>>> 55JS9000",
>>> >> > >>>>> "SMART TV LED UHD 55\" 55JU6500", "SMART TV ULTRA HD 55''
>>> >> 55JU6700",
>>> >> > >>>>> "SMART TV CURVO 55JU7500 LED UHD 55\" 3D - NEGRO", "SMART TV
>>> >> ULTRA HD
>>> >> > >>> 65''
>>> >> > >>>>> 3D 65JS9000",
>>> >> > >>>>> "SMART TV 65JU6500 LED UHD 65\"", "SMART TV ULTRA HD 65''
>>> >> 65JU7500",
>>> >> > >>>>> "SMART TV LED UHD 75\" 75JU6500", "SMART TV WEB OS 40\" FULL
>>> HD
>>> >> > >>> 40LF6350",
>>> >> > >>>>> "SMART TV 3D 42\" FULL HD 42LF6400", "TV LED 42\" FULL HD
>>> CINEMA
>>> >> 3D
>>> >> > >>>>> 42LF6450",
>>> >> > >>>>> "TV LED 49\" FULL HD CINEMA 3D 49LF6450", "SMART TV LF6400
>>> 49\"
>>> >> FULL HD
>>> >> > >>>>> 3D",
>>> >> > >>>>> "TV 43UF6750 43\" ULTRA HD 4K", "TV 49\" ULTRA HD 4K
>>> 49UF6750",
>>> >> > >>>>> "TV LED 49\" ULTRA HD SMART UF6900", "SMART TV 49UF7700 49\"
>>> >> ULTRA HD
>>> >> > >>> 4K",
>>> >> > >>>>> "SMART TV 49UF8500 49\" ULTRA HD 4K 3D", "TV LED 55\" CINEMA
>>> 3D
>>> >> SMART
>>> >> > >>> TV
>>> >> > >>>>> 55UF7700",
>>> >> > >>>>> "SMART TV 65UF7700 65\" ULTRA HD 4K", "SMART TV 55UF8500 55\"
>>> >> ULTRA HD
>>> >> > >>> 4K
>>> >> > >>>>> 3D",
>>> >> > >>>>> "TV LED 55\" ULTRA HD 4K SMART TC-55CX640W", "TV LED 50\"
>>> ULTRA
>>> >> HD 4K
>>> >> > >>> SMART
>>> >> > >>>>> TC-50CX640W",
>>> >> > >>>>> "SMART TV 70UF7700 3D ULTRA HD 70\"", "TV LED CURVO 65\"
>>> ULTRA HD
>>> >> 4K
>>> >> > >>> CINEMA
>>> >> > >>>>> SMART UG8700",
>>> >> > >>>>> "TV LED 60\" FULL HD SMART LF6350", "SMART TV KDL-50FA95C 50\"
>>> >> FULL HD
>>> >> > >>> 3D",
>>> >> > >>>>> "SMART TV KDL50W805C 50\" FULL HD 3D", "TV LED 40\" FULL HD
>>> >> > >>> KDL-40R354B",
>>> >> > >>>>> "SMART TV LED FULL HD 40'' 40J5500", "SMART TV LED FULL HD
>>> 50''
>>> >> > >>> 50J5500",
>>> >> > >>>>> "TV LED HD 32'' 32JH4005", "SMART TV LED FULL HD 50\"
>>> 50J5300",
>>> >> > >>>>> "SMART TV LED 48\" FULL HD 48J5300", "SMART TV FULL HD 40'' 3D
>>> >> > >>> 40J6400",
>>> >> > >>>>> "TV LED 32\" HD SMART KDL-32R505C", "TV LED 40\" SMART FULL HD
>>> >> > >>> KDL-40R555C
>>> >> > >>>>> - NEGRO",
>>> >> > >>>>> "SMART TV LED FHD 55\" 3D 55J6400", "TV 40JH5005 LED FHD 40\"
>>> -
>>> >> NEGRO",
>>> >> > >>>>> "TV 43\" FULL HD 43LF5410", "SMART TV 32LF585B LED HD 32\" -
>>> >> BLANCO",
>>> >> > >>>>> "TV LED 49\" FULL HD SMART 49LF5900", "SMART TV 65\" FULL HD
>>> 3D
>>> >> > >>>>> KDL-65W855C",
>>> >> > >>>>> "SMART TV LED FHD 48\" UN48J6500", "TV LED 40\" FULL HD
>>> >> LE40F1551",
>>> >> > >>>>> "TV LED 32'' SMART HD TC-32AS600L", "TV LED 32'' HD
>>> KDL-32R304B",
>>> >> > >>>>> "TV OLED 55\" SMART 3D FULL HD 55EC9300 PLATEADO", "TV LED HD
>>> 32''
>>> >> > >>>>> LE32W454F",
>>> >> > >>>>> "TV LED 58\" ULTRA HD SMART 58UF8300", "TV LED 55\" FULL HD
>>> SMART
>>> >> 3D
>>> >> > >>>>> KDL-55W805C",
>>> >> > >>>>> "TV LED 49\" ULTRA HD 4K XBR-49X835C", "TV LED 55\" ULTRA HD
>>> 4K
>>> >> > >>>>> XBR-55X855C",
>>> >> > >>>>> "TV LED ULTRA DELGADO 55\" ULTRA HD 4K XBR-65X905C", "TV LED
>>> 75\"
>>> >> > >>> ULTRA HD
>>> >> > >>>>> 4K 3D XBR-75X945C",
>>> >> > >>>>> "TV LED ULTRA DELGADO 55\" ULTRA HD 4K XBR-55X905C", "SMART TV
>>> >> LED 60''
>>> >> > >>>>> ULTRA HD 4K LC60UE30U",
>>> >> > >>>>> "SMART TV LED 70'' ULTRA HD 4K LC70UE30U", "SMART TV LED 80''
>>> >> ULTRA HD
>>> >> > >>> 4K
>>> >> > >>>>> LC80UE30U",
>>> >> > >>>>> "SMART TV LED FULL HD 48'' 48J5500", "SMART TV CURVO 79UG8800
>>> 79\"
>>> >> > >>> ULTRA HD
>>> >> > >>>>> 4K 3D",
>>> >> > >>>>> "SMART TV 65UF9500 65\" ULTRA HD 4K 3D", "SMART TV 65UF8500
>>> 65\"
>>> >> ULTRA
>>> >> > >>> HD
>>> >> > >>>>> 4K 3D",
>>> >> > >>>>> "SMART TV 55UF9500 55\" ULTRA HD 4K 3D", "SMART TV LED HD 32\"
>>> >> > >>> 32J4300",
>>> >> > >>>>> "TV LED 48\" SMART FULL HD KDL-48R555C - NEGRO", "SMART TV
>>> >> 55UG8700
>>> >> > >>> 55\"
>>> >> > >>>>> ULTRA HD 4K 3D",
>>> >> > >>>>> "SMART TV 60UF8500 60\" ULTRA HD 4K 3D", "SMART TV 55LF6500
>>> 55\"
>>> >> FULL
>>> >> > >>> HD
>>> >> > >>>>> 3D",
>>> >> > >>>>> "TV 32LF550B 32\" HD", "TV LED 47\" FULL HD 47LB5610", "TV LED
>>> >> FULL HD
>>> >> > >>> 50''
>>> >> > >>>>> TC-50AS600L",
>>> >> > >>>>> "TV SMART LED 55\" UHD 3D XBR-55X855B", "TV LED FULL HD 4K
>>> >> LC70SQ17U
>>> >> > >>> 70''",
>>> >> > >>>>> "TV LED SMART UHD 79\" XBR-79X905B", "TV LED FULL HD 40''
>>> >> TC-40A400L",
>>> >> > >>>>> "TV LED SMART UHD 70\" XBR-70X855B", "SMART TV UHD 55'' 3D
>>> CURVO
>>> >> > >>> 55HU8700",
>>> >> > >>>>> "TV FULL HD LE40D3142 40\" - NEGRO", "TELEVISOR LED 42\"
>>> >> TC-42AS650L",
>>> >> > >>>>> "SMART TV LCD FHD 70\" LC70LE660", "TV LED FULL HD 58''
>>> LE58D3140"
>>> >> > >>>>> ), pulgadas = c(48L, 40L, 40L, 28L, 40L, 32L, 32L, 55L, 40L,
>>> >> > >>>>> 24L, 42L, 50L, 40L, 48L, 50L, 55L, 55L, 55L, 55L, 65L, 65L,
>>> 65L,
>>> >> > >>>>> 75L, 40L, 42L, 42L, 49L, 49L, 43L, 49L, 49L, 49L, 49L, 55L,
>>> 65L,
>>> >> > >>>>> 55L, 55L, 50L, 70L, 65L, 60L, 50L, 50L, 40L, 40L, 50L, 32L,
>>> 50L,
>>> >> > >>>>> 48L, 40L, 32L, 40L, 55L, 40L, 43L, 32L, 49L, 65L, 48L, 40L,
>>> 32L,
>>> >> > >>>>> 32L, 55L, 32L, 58L, 55L, 49L, 55L, 55L, 75L, 55L, 60L, 70L,
>>> 80L,
>>> >> > >>>>> 48L, 79L, 65L, 65L, 55L, 32L, 48L, 55L, 60L, 55L, 32L, 47L,
>>> 50L,
>>> >> > >>>>> 55L, 70L, 79L, 40L, 70L, 55L, 40L, 42L, 70L, 58L),
>>> precio.antes =
>>> >> > >>> c(2799L,
>>> >> > >>>>> 1799L, 1699L, 599L, 1299L, 699L, 999L, 1999L, 999L, 499L,
>>> 1899L,
>>> >> > >>>>> 1799L, 2499L, 3999L, 3699L, 10999L, 4299L, 5499L, 6999L,
>>> 14999L,
>>> >> > >>>>> 8999L, 9999L, 14599L, 1999L, 2299L, 2299L, 2899L, 2999L,
>>> 2299L,
>>> >> > >>>>> 23992L, 3599L, 3799L, 4799L, 4999L, 8499L, 5999L, 4999L,
>>> 3999L,
>>> >> > >>>>> 11999L, 10999L, 4399L, 4499L, 3799L, 1399L, 2299L, 2799L,
>>> 999L,
>>> >> > >>>>> 2199L, 2299L, 2299L, 1299L, 1699L, 3499L, 1399L, 1549L, 1299L,
>>> >> > >>>>> 2399L, 6499L, 2999L, 999L, 1249L, 999L, 14999L, 799L, 5999L,
>>> >> > >>>>> 4499L, 4999L, 6499L, 12999L, 24999L, 8999L, 5999L, 7599L,
>>> 14999L,
>>> >> > >>>>> 2499L, 29999L, 13999L, 9999L, 9699L, 1299L, 2399L, 6999L,
>>> 7999L,
>>> >> > >>>>> 3699L, 999L, 1899L, 2999L, 7999L, 8499L, 24999L, 1399L,
>>> 13999L,
>>> >> > >>>>> 8499L, 999L, 2599L, 5799L, 2399L), precio.nuevo = c(2299,
>>> 1399,
>>> >> > >>>>> 1299, 549, 1099, 629, 799, 1699, 849, 439, 1499, 1549, 1759.2,
>>> >> > >>>>> 2099.3, 2309.3, 7699.3, 2799.3, 3639.3, 4899.3, 10499.3,
>>> 5109.3,
>>> >> > >>>>> 6999.3, 10219.3, 1399, 1599, 1599, 2199, 2199, 1299, 23992,
>>> 2299,
>>> >> > >>>>> 2299, 2899, 2999, 5999, 3899, 4999, 3999, 8999, 6999, 4099,
>>> 3999,
>>> >> > >>>>> 3499, 1299, 1799, 2399, 799, 2199, 1799, 1999, 1199, 1599,
>>> 2999,
>>> >> > >>>>> 1199, 1399, 1099, 1999, 5999, 2799, 999, 1199, 949, 7999, 799,
>>> >> > >>>>> 5299, 4299, 3999, 5999, 11999, 23999, 7999, 5699, 7599, 14499,
>>> >> > >>>>> 2399, 29999, 11999, 8999, 7499, 1099, 2199, 6599, 7099, 3599,
>>> >> > >>>>> 899, 1599, 2199, 4999, 6499, 19999, 1399, 9999, 5999, 999,
>>> 2599,
>>> >> > >>>>> 5699, 2399), dif.precios = c(500, 400, 400, 50, 200, 70, 200,
>>> >> > >>>>> 300, 150, 60, 400, 250, 739.8, 1899.7, 1389.7, 3299.7, 1499.7,
>>> >> > >>>>> 1859.7, 2099.7, 4499.7, 3889.7, 2999.7, 4379.7, 600, 700, 700,
>>> >> > >>>>> 700, 800, 1000, 0, 1300, 1500, 1900, 2000, 2500, 2100, 0, 0,
>>> >> > >>>>> 3000, 4000, 300, 500, 300, 100, 500, 400, 200, 0, 500, 300,
>>> 100,
>>> >> > >>>>> 100, 500, 200, 150, 200, 400, 500, 200, 0, 50, 50, 7000, 0,
>>> 700,
>>> >> > >>>>> 200, 1000, 500, 1000, 1000, 1000, 300, 0, 500, 100, 0, 2000,
>>> >> > >>>>> 1000, 2200, 200, 200, 400, 900, 100, 100, 300, 800, 3000,
>>> 2000,
>>> >> > >>>>> 5000, 0, 4000, 2500, 0, 0, 100, 0), dif.porcentual = c(17.86,
>>> >> > >>>>> 22.23, 23.54, 8.35, 15.4, 10.01, 20.02, 15.01, 15.02, 12.02,
>>> >> > >>>>> 21.06, 13.9, 29.6, 47.5, 37.57, 30, 34.88, 33.82, 30, 30,
>>> 43.22,
>>> >> > >>>>> 30, 30, 30.02, 30.45, 30.45, 24.15, 26.68, 43.5, 0, 36.12,
>>> 39.48,
>>> >> > >>>>> 39.59, 40.01, 29.42, 35.01, 0, 0, 25, 36.37, 6.82, 11.11, 7.9,
>>> >> > >>>>> 7.15, 21.75, 14.29, 20.02, 0, 21.75, 13.05, 7.7, 5.89, 14.29,
>>> >> > >>>>> 14.3, 9.68, 15.4, 16.67, 7.69, 6.67, 0, 4, 5.01, 46.67, 0,
>>> 11.67,
>>> >> > >>>>> 4.45, 20, 7.69, 7.69, 4, 11.11, 5, 0, 3.33, 4, 0, 14.29, 10,
>>> >> > >>>>> 22.68, 15.4, 8.34, 5.72, 11.25, 2.7, 10.01, 15.8, 26.68, 37.5,
>>> >> > >>>>> 23.53, 20, 0, 28.57, 29.42, 0, 0, 1.72, 0), rangos =
>>> c("S/.1500 -
>>> >> > >>> S/.2500",
>>> >> > >>>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500",
>>> >> "S/.500 -
>>> >> > >>>>> S/.1500",
>>> >> > >>>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500",
>>> >> > >>>>> "S/.500 - S/.1500", "< S/.500", "S/.500 - S/.1500", "S/.1500 -
>>> >> > >>> S/.2500",
>>> >> > >>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.1500 - S/.2500",
>>> >> > >>>>> "> S/.4,500", "S/.2500 - S/.3500", "S/.3500 - S/.4500", ">
>>> >> S/.4,500",
>>> >> > >>>>> "> S/.4,500", "> S/.4,500", "> S/.4,500", "> S/.4,500",
>>> "S/.500 -
>>> >> > >>> S/.1500",
>>> >> > >>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.1500 - S/.2500",
>>> >> > >>>>> "S/.1500 - S/.2500", "S/.500 - S/.1500", "> S/.4,500",
>>> "S/.1500 -
>>> >> > >>> S/.2500",
>>> >> > >>>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.2500 - S/.3500",
>>> >> > >>>>> "> S/.4,500", "S/.3500 - S/.4500", "> S/.4,500", "S/.3500 -
>>> >> S/.4500",
>>> >> > >>>>> "> S/.4,500", "> S/.4,500", "S/.3500 - S/.4500", "S/.3500 -
>>> >> S/.4500",
>>> >> > >>>>> "S/.2500 - S/.3500", "S/.500 - S/.1500", "S/.1500 - S/.2500",
>>> >> > >>>>> "S/.1500 - S/.2500", "S/.500 - S/.1500", "S/.1500 - S/.2500",
>>> >> > >>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.500 - S/.1500",
>>> >> > >>>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.500 - S/.1500",
>>> >> > >>>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500",
>>> >> > >>>>> "> S/.4,500", "S/.2500 - S/.3500", "S/.500 - S/.1500",
>>> "S/.500 -
>>> >> > >>> S/.1500",
>>> >> > >>>>> "S/.500 - S/.1500", "> S/.4,500", "S/.500 - S/.1500", ">
>>> >> S/.4,500",
>>> >> > >>>>> "S/.3500 - S/.4500", "S/.3500 - S/.4500", "> S/.4,500", ">
>>> >> S/.4,500",
>>> >> > >>>>> "> S/.4,500", "> S/.4,500", "> S/.4,500", "> S/.4,500", ">
>>> >> S/.4,500",
>>> >> > >>>>> "S/.1500 - S/.2500", "> S/.4,500", "> S/.4,500", "> S/.4,500",
>>> >> > >>>>> "> S/.4,500", "S/.500 - S/.1500", "S/.1500 - S/.2500", ">
>>> >> S/.4,500",
>>> >> > >>>>> "> S/.4,500", "S/.3500 - S/.4500", "S/.500 - S/.1500",
>>> "S/.1500 -
>>> >> > >>> S/.2500",
>>> >> > >>>>> "S/.1500 - S/.2500", "> S/.4,500", "> S/.4,500", "> S/.4,500",
>>> >> > >>>>> "S/.500 - S/.1500", "> S/.4,500", "> S/.4,500", "S/.500 -
>>> >> S/.1500",
>>> >> > >>>>> "S/.2500 - S/.3500", "> S/.4,500", "S/.1500 - S/.2500")),
>>> .Names =
>>> >> > >>> c("id",
>>> >> > >>>>> "marca", "producto", "pulgadas", "precio.antes",
>>> "precio.nuevo",
>>> >> > >>>>> "dif.precios", "dif.porcentual", "rangos"), class =
>>> "data.frame",
>>> >> > >>> row.names
>>> >> > >>>>> = c(NA,
>>> >> > >>>>> -97L))
>>> >> > >
>>> >> > > ______________________________________________
>>> >> > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> >> > > https://stat.ethz.ch/mailman/listinfo/r-help
>>> >> > > PLEASE do read the posting guide
>>> >> http://www.R-project.org/posting-guide.html
>>> >> > > and provide commented, minimal, self-contained, reproducible code.
>>> >> >
>>> >> > David Winsemius
>>> >> > Alameda, CA, USA
>>> >> >
>>> >> >
>>> >>
>>> >>
>>> >
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>>
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
