search for: rep5

...mat)) # add the week of the year rep_df$rep_week<-format(rep_df$rep_dates,"%V") # add the year rep_df$rep_year<-format(rep_df$rep_dates,"%Y") # get a table of the weekly counts by year rep_tab<-table(rep_df$rep_week,rep_df$rep_year) # get the row means (5 year averages) rep5<-apply(rep_tab,1,mean) # plot the 5 year weekly averages plot(rep5,type="b",ylim=c(0,4),xlab="Week",ylab="Reports per week") # add the 2017 weekly counts points(rep_tab[,5],type="b",col="red") legend(1,4,c("5 yr average","2017&quot...

...low) is how my original data are arranged, and I know that with melt() I can reshape it like "y" (see below). However, I just want to build a matrix like the "y" matrix, but with only 2 dimensions. Something like this: year Site specie Pres Rep1 Rep2 Rep3 Rep4 Rep5 1 2003 2021 MICH 1 0 0 1 1 0 3 2003 2021 MISA 1 1 0 0 0 0 4 2003 2021 MOBO 1 1 1 0 0 0 where "year" and "specie" are not another dimension, they a...

Hi, I am fairly new to 'R' and would like advice on the following. I want to calculate a weekly average number of reports (e.g. of flu, norovirus) based on the same weeks for the last five years. I will then use this to plot a chart with 52 points for the average based on the last five years; another line will then plot the current year, enabling a comparison of current weekly counts

...    -0.011558013  0.0142246797 > TRATT       -0.008224680  0.0175580130 > CORTEC2     -0.065010796 -0.0481320614 > CORTEC3     -0.175010796 -0.1581320614 > REP2        -0.022323748 -0.0005333952 > REP3        -0.019466605  0.0023237476 > REP4        -0.025180890 -0.0033905381 > REP5        -0.023276129 -0.0014857762 >   > He puesto 0,85 porque me piden una significación del 0.15% > Ya me diréis. >  Un saludo. > Juan Bautista Relloso Barrio > Coordinador de Equipos e Infraestructuras | Técnico de Cultivos del Departamento de Producción Vegetal > Talde eta A...

...477: subvolumes cbrick5 cbrick8 cbrick14 478: end-volume 479: 480: volume rep3 481: type cluster/replicate 482: subvolumes cbrick9 cbrick15 cbrick18 483: end-volume 484: 485: volume rep4 486: type cluster/replicate 487: subvolumes cbrick13 cbrick16 cbrick19 488: end-volume 489: 490: volume rep5 491: type cluster/replicate 492: subvolumes cbrick17 cbrick20 cbrick23 493: end-volume 494: 495: volume rep6 496: type cluster/replicate 497: subvolumes cbrick21 cbrick24 cbrick3 498: end-volume 499: 500: volume rep7 501: type cluster/replicate 502: subvolumes cbrick22 cbrick2 cbrick6 503:...