Difference between revisions of "Talk:Ladle/Statistics"
From Armagetron
Line 1: | Line 1: | ||
− | === Instructions for generating | + | === Instructions for generating plots for 'Individual stats' === |
− | 1. | + | 1. Install R and Rstudio (http://cran.rstudio.com/bin/windows/base/R-3.0.2-win.exe, http://download1.rstudio.org/RStudio-0.98.501.exe) |
− | 2. Create a new "R script" and copy the code below (with updated ladle data) | + | 2. From within Rstudio install these packages: ggplot2, Cairo |
+ | |||
+ | 3. Create a new "R script" and copy the code below (with updated ladle data) | ||
require(ggplot2) | require(ggplot2) | ||
require(scales) | require(scales) | ||
+ | require(Cairo) | ||
data <- list( | data <- list( | ||
Line 25: | Line 28: | ||
freako =c(14,17,21,24,27,34,41,55,56), | freako =c(14,17,21,24,27,34,41,55,56), | ||
mazuff =c(04,06,09,11,18,19,33,34,48), | mazuff =c(04,06,09,11,18,19,33,34,48), | ||
+ | vov =c(57,65,66,69,73,74,76,78), | ||
gazelle =c(53,62,68,69,73,74,76,77), | gazelle =c(53,62,68,69,73,74,76,77), | ||
viper =c(07,24,27,29,30,31,36,46), | viper =c(07,24,27,29,30,31,36,46), | ||
Line 61: | Line 65: | ||
l=unlist(data2,use.names=F), | l=unlist(data2,use.names=F), | ||
c=unlist(sapply(data2,function(x)(1:length(x))),use.names=F), | c=unlist(sapply(data2,function(x)(1:length(x))),use.names=F), | ||
− | + | m=unlist(sapply(data2,function(x)(rep(length(x),length(x)))),use.names=F)) | |
df2up <- df2[df2$m >= at_least,] | df2up <- df2[df2$m >= at_least,] | ||
ggplot(df2up) + geom_point(aes(x=l,y=reorder(p,c),size=c,color=c),shape=21,fill="Black") + | ggplot(df2up) + geom_point(aes(x=l,y=reorder(p,c),size=c,color=c),shape=21,fill="Black") + | ||
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xlab(paste("Ladle dominance (",at_least,"+) in the last ",months_ago," months since L",last_ladle,"\n", "(updated ", format(Sys.time(), "%Y/%m/%d"),")",sep=""))} | xlab(paste("Ladle dominance (",at_least,"+) in the last ",months_ago," months since L",last_ladle,"\n", "(updated ", format(Sys.time(), "%Y/%m/%d"),")",sep=""))} | ||
− | ### SAVE | + | ### SAVE PLOTS |
− | ggsave("ladle_wins.png", plot_ladle_wins(), width=14, height=7, dpi= | + | ggsave("ladle_wins.png", plot_ladle_wins(), width=14, height=7, dpi=72, type="cairo-png") |
− | ggsave("ladle_dominance.png", plot_ladle_dominance(), width=14, height= 3.5, dpi=72) | + | ggsave("ladle_dominance.png", plot_ladle_dominance(), width=14, height= 3.5, dpi=72, type="cairo-png") |
3. Run the script. Two png plots will be saved | 3. Run the script. Two png plots will be saved |
Revision as of 04:45, 18 February 2014
Instructions for generating plots for 'Individual stats'
1. Install R and Rstudio (http://cran.rstudio.com/bin/windows/base/R-3.0.2-win.exe, http://download1.rstudio.org/RStudio-0.98.501.exe)
2. From within Rstudio install these packages: ggplot2, Cairo
3. Create a new "R script" and copy the code below (with updated ladle data)
require(ggplot2) require(scales) require(Cairo) data <- list( dread =c(22,37,39,42,48,51,54,55,56,61,65,66,69,73,74,76,78), fofo =c(12,13,15,27,29,30,31,36,46,48,50,52,57,58,75), hoax =c(12,13,15,22,23,28,44,45,50,55,56,61,75), xyron =c(21,24,27,32,33,37,39,40,42,50,55,56,61), lacka =c(03,09,11,14,18,34,35,38,43,60,63,64), flex =c(12,13,15,18,19,26,29,30,31,36,50,52), woned =c(16,20,25,32,37,39,40,42,53,71,72), eckz =c(41,49,51,54,57,58,59,62,65,66), dlh =c(06,09,18,19,33,34,35,55,56,61), durka =c(08,10,14,17,22,23,28,44,45,61), newb =c(01,04,06,09,11,21,24,33,34,35), olive =c(21,24,27,33,38,43,55,56,61,78), gonzap =c(20,32,37,39,40,42,53,71,72), b3er =c(25,32,37,39,40,42,53,71,72), freako =c(14,17,21,24,27,34,41,55,56), mazuff =c(04,06,09,11,18,19,33,34,48), vov =c(57,65,66,69,73,74,76,78), gazelle =c(53,62,68,69,73,74,76,77), viper =c(07,24,27,29,30,31,36,46), emmy =c(16,20,25,32,37,39,40,42), titan =c(33,38,43,46,60,63,70), soul =c(65,66,69,73,74,76,78), wap =c(37,40,42,53,71,72), poke =c(38,43,60,63,64,70), psyko =c(07,11,26,29,30,36), kult =c(73,74,76,78), over =c(63,64,70,71), orion =c(36,78), jdawg =c(71,72), fippmam =c(62,67), magi =c(67) ) plot_ladle_wins <- function(at_least=5) { df <- data.frame(p=rep(paste(names(data)," (",sapply(data,length),")",sep=""),times=sapply(data,length)), l=unlist(data,use.names=F), c=unlist(sapply(data,function(x)(1:length(x))),use.names=F), m=unlist(sapply(data,function(x)(rep(length(x),length(x)))),use.names=F)) dfup <- df[df$m >= at_least,] bre <- unique(c(seq(from=1,to=max(dfup$c),by=4),max(dfup$c))) ggplot(dfup) + geom_point(aes(x=l,y=reorder(p,l),size=c,colour=c),shape=9) + scale_colour_gradient('wins', guide="legend", breaks=bre) + scale_size_area('wins',breaks=bre) + theme(axis.title.y=element_blank(),axis.ticks.x=element_blank(),axis.ticks.y=element_blank()) + scale_x_continuous(breaks=c(1,seq(from=12,to=max(dfup$l),by=12)),minor_breaks=seq(from=1,to=max(dfup$l), by=1)) + xlab(paste("Ladle trophies (",at_least,"+) sorted by players' activity\n", "(updated ", format(Sys.time(), "%Y/%m/%d"),")",sep=""))} plot_ladle_dominance <- function (last_ladle=(max(unlist(data,use.names=F))), months_ago=18, at_least=3) { data2 <- lapply(data,function(a)(a[a>(last_ladle-months_ago) & a<=last_ladle])) data2 <- data2[sapply(data2,length)>0] df2 <- data.frame(p=rep(paste(names(data2)," (",sapply(data2,length),")",sep=""),times=sapply(data2,length)), l=unlist(data2,use.names=F), c=unlist(sapply(data2,function(x)(1:length(x))),use.names=F), m=unlist(sapply(data2,function(x)(rep(length(x),length(x)))),use.names=F)) df2up <- df2[df2$m >= at_least,] ggplot(df2up) + geom_point(aes(x=l,y=reorder(p,c),size=c,color=c),shape=21,fill="Black") + scale_x_continuous(breaks = seq(from = min(df2up$l), to = max(df2up$l), by = 1)) + theme(axis.title.y=element_blank(),panel.grid.minor=element_blank(),axis.ticks.x=element_blank(),axis.ticks.y=element_blank(),legend.position="none") + coord_fixed(1) + xlab(paste("Ladle dominance (",at_least,"+) in the last ",months_ago," months since L",last_ladle,"\n", "(updated ", format(Sys.time(), "%Y/%m/%d"),")",sep=""))} ### SAVE PLOTS ggsave("ladle_wins.png", plot_ladle_wins(), width=14, height=7, dpi=72, type="cairo-png") ggsave("ladle_dominance.png", plot_ladle_dominance(), width=14, height= 3.5, dpi=72, type="cairo-png")
3. Run the script. Two png plots will be saved