search for: b2a

Displaying 5 results from an estimated 5 matches for "b2a".

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2010 May 12
1
Convert data.frame or matrix to list
Hi, i have the following data.frame : > Data[1:3,] dt amt geoTree merTree ref 1 0.71002484 3.334570 A2b B2b 0 2 0.49074936 2.544464 A2b B1a 0 3 0.06223433 3.617133 A1b B2a 0 i want to convert it to a list, like this: list(Data[1,],Data[2,],Data[3,]) [[1]] dt amt geoTree merTree ref 1 0.07333459 0.969585 A2a A1a 0 [[2]] dt amt geoTree merTree ref 2 0.5197299 4.489454 A2b A2b 0 [[3]] dt amt geoTre...
2017 Mar 29
5
names
...mportados desde SPSS (que usa etiquetas).- Mayormente, no tengo problemas, pero en una variable puntual veo que las etiquetas de las variables "están" pero la clase del vector no me cierra y los resultados no los usan. Trato de mostrarlo: > na.omit(datos[, .(FORM, Region, Dependencia = B2a, Criterios = D4_Otros.1)]) FORM Region Dependencia Criterios 1: 44 NEA Provinciales 8 2: 47 NEA Provinciales 8 3: 51 NEA Provinciales 8 4: 52 NEA Provinciales 8 5: 58 NEA Provinciales 8 6: 222 NOA Municipales 11...
2017 Mar 15
3
Crear una función
...tabla.1[, Porc := round(N/sum(N)*100,1), by =.(Region)] tabla.1 <- spread(tabla.1[, .(etiqueta, Region, Porc)], key = Region, value = Porc) tabla.reg <- left_join(tabla, tabla.1) # Depdendencia tabla.1 <- datos[, .N, by = .(etiqueta = x, Dependencia = B2a)] tabla.1[, Porc := round(N/sum(N)*100,1), by =.(Dependencia)] # % por Dependencia tabla.1 <- na.omit(tabla.1) tabla.1 <- spread(tabla.1[, .(etiqueta, Dependencia, Porc)], key = Dependencia, value = Porc) tabla.dep <- left_join(tabla, tabla.1) tabla...
2017 Mar 15
4
Fwd: Crear una función
...  tabla.1[, Porc := round(N/sum(N)*100,1), by =.(Region)]            tabla.1 <- spread(tabla.1[, .(etiqueta, Region, Porc)], key = Region, value = Porc)      tabla.reg <- left_join(tabla, tabla.1)           # Depdendencia           tabla.1 <- datos[, .N, by = .(etiqueta = x, Dependencia = B2a)]            tabla.1[, Porc := round(N/sum(N)*100,1), by =.(Dependencia)] # % por Dependencia           tabla.1 <- na.omit(tabla.1)           tabla.1 <- spread(tabla.1[, .(etiqueta, Dependencia, Porc)], key = Dependencia, value = Porc)      tabla.dep <- left_join(tabla, tabla.1)      tabla...
2017 Jun 29
5
Friendly Reminder: Huge number of small files performance regression from 3.5.16 to 4.6.5 with identical smb.conf
Hello again, Jeremy and other Samba experts, I'm sorry to be such a pain in your neck(s), but I still need your help in looking for help trying to find out why SMB2/3.1.1 in Samba 4.6.5 performs so much worse than SMB/1.5 in Samba 3.6.15 in scenarios with a huge number of small files. As requested by Jeremy, I have done wireshark "pcapng" captures of the four scenarios as