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grade.r
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grade.r
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grades <- function(base, scale, grade,fct) {
gscale <- matrix(c(.05,"A+", .1,"A", .2,"A-", .3,"B", .4,"B-", .6,"C", .9,"C-" ), nrow=2)
gscale <- t(gscale)
# =========================== lat grades ======================
base$grade95[ base$p95_00 < as.numeric(grade[1]) ] <- grade[1,2]
base$grade99[ base$p99_00 < as.numeric(grade[1]) ] <- grade[1,2]
base$gradeavg[ base$lat < as.numeric(grade[1]) ] <- grade[1,2]
for ( i in 2:nrow(grade) ) {
base$grade95[ base$p95_00 < as.numeric(grade[i,1]) &
base$p95_00 >= as.numeric(grade[i-1,1]) ] <- grade[i,2]
base$grade99[ base$p99_00 < as.numeric(grade[i,1]) &
base$p99_00 >= as.numeric(grade[i-1,1]) ] <- grade[i,2]
base$gradeavg[ base$lat < as.numeric(grade[i,1]) &
base$lat >= as.numeric(grade[i-1,1]) ] <- grade[i,2]
}
base$grade95[ base$p95_00 > as.numeric(grade[nrow(grade),1]) ] <- "D"
base$grade99[ base$p99_00 > as.numeric(grade[nrow(grade),1]) ] <- "D"
base$gradeavg[ base$lat > as.numeric(grade[nrow(grade),1]) ] <- "D"
# =========================== scale grades ======================
base$scalelat <- ((scale['lat'] /base['lat'] )-1)/fct
base$scale95 <- ((scale['p95_00']/base['p95_00'])-1)/fct
base$scale99 <- ((scale['p99_00']/base['p99_00'])-1)/fct
base$gscale95[ base$scale95 <= as.numeric(gscale[1]) ] <- gscale[1,2]
base$gscale99[ base$scale99 <= as.numeric(gscale[1]) ] <- gscale[1,2]
base$gscaleavg[ base$scalelat <= as.numeric(gscale[1]) ] <- gscale[1,2]
for ( i in 2:nrow(gscale) ) {
base$gscale95[ base$scale95 <= as.numeric(gscale[i,1]) &
base$scale95 > as.numeric(gscale[i-1,1]) ] <- gscale[i,2]
base$gscale99[ base$scale99 <= as.numeric(gscale[i,1]) &
base$scale99 > as.numeric(gscale[i-1,1]) ] <- gscale[i,2]
base$gscaleavg[ base$scalelat <= as.numeric(gscale[i,1]) &
base$scalelat > as.numeric(gscale[i-1,1]) ] <- gscale[i,2]
}
base$gscale95[ base$scale95 > as.numeric(gscale[nrow(gscale),1]) ] <- "D"
base$gscale99[ base$scale99 > as.numeric(gscale[nrow(gscale),1]) ] <- "D"
base$gscaleavg[ base$scalelat > as.numeric(gscale[nrow(gscale),1]) ] <- "D"
print( cbind(base['gradeavg'],
base['grade95'],
base['grade99'],
base['lat'],
base['p95_00'],
base['p99_00'],
base$scalelat ,
base$scale95 ,
base$scale99 ,
base$gscaleavg ,
base$gscale95 ,
base$gscale99
))
for ( i in 1:nrow(base) ) {
cat(sprintf(" %-2s/%-2s %4.1f/%2.1f %-2s/%-2s %4.1f/%2.1f %-2s/%-2s %4.1f/%2.1f \n"
, base[i,'gradeavg'],base[i,'gscaleavg'], base[i,'lat'] ,as.numeric(base[i,'scalelat'])
, base[i,'grade95'] ,base[i,'gscale95'] , base[i,'p95_00'],as.numeric(base[i,'scale95'])
, base[i,'grade99'] ,base[i,'gscale99'] , base[i,'p99_00'],as.numeric(base[i,'scale99'])))
}
return(base)
}
chart_grades <- function(m) {
colors <- c(
"#00007F", # 50u 1 dark blue
"#0000BB", # 100u 2
"#0000F7", # 250u 3 blue
"#00ACFF", # 500u 4 light blue
"#00E8FF", # 1ms 5
"#25FFD9", # 2ms 6
"#61FF9D", # 4ms 7 cyan
"#9DFF61", # 10ms 8 light green
"#FFE800", # 20ms 9 yellow
"#FFAC00", # 50ms 10 dark yellow / orange
"#FF7000", # 100ms 11 dark orang
"#FF3400", # 250ms 12 red 1
"#F70000", # 500ms 13 red 2
"#BB0000", # 1s 14 dark red 1
"#7F0000", # 2s 15 dark red 2
"#4F0000") # 5s 16 dark red 2
lcolors <- c(
"#9999FF", # 1 violet
"#66FFFF", # 2 aqau
"#99FFFF", # 3 cyan
"#B0FFB0", # 4 gren
"#FFFF99", # 5 yello
"#FFB090", # 7 orange
"#FFA0B0" # 7 orange
)
letters <- c(
"A+",
"A",
"A-",
"B",
"B-",
"C",
"C-"
)
#
#
# setup GRADING SCALES
#
colnames <- c("lat", "grade" )
gscale <- matrix(c(.05,"A+", .1,"A", .2,"A-", .3,"B", .4,"B-", .6,"C", .9,"C-" ), nrow=2)
gscale <- t(gscale)
colnames(gscale)=colnames
grr <- matrix(c(2,"A+", 4,"A", 6,"A-", 8,"B", 10,"B-", 12,"C", 14,"C-"), nrow=2)
grr <- t(grr)
colnames(grr)=colnames
gsr <- matrix(c( 12 , "A+" , 14 , "A", 16 , "A-", 18 , "B", 20 , "B-", 22 , "C", 24 , "C-" ), nrow=2)
gsr <- t(gsr)
colnames(gsr)=colnames
gw1 <- matrix(c( 0.2,"A+" , 0.5,"A", 1,"A-", 1.5,"B", 2,"B-", 2.5,"C", 3,"C-" ), nrow=2)
gw1 <- t(gw1)
colnames(gw1)=colnames
gw128 <- matrix(c( 2 , "A+" , 4 , "A", 6 , "A-", 8 , "B", 10 , "B-", 12 , "C", 14 , "C-" ), nrow=2)
gw128 <- t(gw128)
colnames(gw128)=colnames
#gm <- cbind(gw128,gw1,gsr,grr)
#gm <- rbind(gw128,gw1,gsr,grr)
# get all the latencies
gm <- cbind(gw128[,1],gw1[,1],gsr[,1],grr[,1])
gmc <- rbind(colors[1],colors[3],colors[4],colors[7],colors[8],colors[9],colors[10])
gmc <- rbind(lcolors[1],lcolors[2],lcolors[3],lcolors[4],lcolors[5],lcolors[6],lcolors[7])
#
# EXTRACT data sets: RANDOM READ, SEQUENTIAL READ, WRITE 1K, WRITE 128K
#
rr8 <- subset(m,m['name'] == "randread" & m['users'] == 8 )
rr16 <- subset(m,m['name'] == "randread" & m['users'] == 16 )
rr32 <- subset(m,m['name'] == "randread" & m['users'] == 32 )
#
sr1 <- subset(m,m['name'] == "read" & m['users'] == 1 & m['bs'] == "1M" )
sr8 <- subset(m,m['name'] == "read" & m['users'] == 8 & m['bs'] == "1M" )
sr16 <- subset(m,m['name'] == "read" & m['users'] == 16 & m['bs'] == "1M" )
#
w1k_1 <- subset(m,m['name'] == "write" & m['users'] == 1 & m['bs'] == "1K" )
w1k_4 <- subset(m,m['name'] == "write" & m['users'] == 4 & m['bs'] == "1K" )
w1k_16 <- subset(m,m['name'] == "write" & m['users'] == 16 & m['bs'] == "1K" )
#
w128k_1 <- subset(m,m['name'] == "write" & m['users'] == 4 & m['bs'] == "128K" )
w128k_4 <- subset(m,m['name'] == "write" & m['users'] == 4 & m['bs'] == "128K" )
w128k_16 <- subset(m,m['name'] == "write" & m['users'] == 16 & m['bs'] == "128K" )
#
# CALCULATE GRADES based on latency data
#
rr <- grades(rr16,rr32,grr,2)
rr$system = "randread 16 users"
sr <- grades(sr1,sr8,gsr,8)
sr$system = "seq read 1 users"
w1 <-grades(w1k_4,w1k_16,gw1,4)
w1$system = "write 1k 4 users"
w128 <- grades(w128k_4,w128k_16,gw128,4)
w128$system = "write 128k 4 users"
#
# CREATE dataset with GRADES and DATA from
# from RANDOM READ, SEQUENTIAL READ, WRITE 1K, WRITE 128K
#
mold <- m
m <- rbind(w128,w1,sr,rr)
#
# EXTRACT HISTOGRAMS
#
hist <- cbind(m['us50'],m['us100'], m['us250'],m['us500'],m['ms1'],
m['ms2'],m['ms4'],m['ms10'],m['ms20'],m['ms50'],
m['ms100'],m['ms250'],m['ms500'],m['s1'],m['s2'],m['s5'])
thist <- t(hist)
#
# Set Height and Width of Graphs
#
ymaxwidth <- ncol(thist) + 2
yminwidth <- 1
#xwidth <- nrow(thist) + 2
xwidth <- nrow(thist)
#xwidth <- nrow(thist) + 7
xwidthg <- 2*xwidth + 5
xwidth <- 2*xwidth + 9
#
# CHART LAYOUT
#
nf <- layout(matrix(c(1:1)), widths = 10 , heights=10, respect = TRUE)
#
# left hand lables, the name of the tests, ie
# from RANDOM READ, SEQUENTIAL READ, WRITE 1K, WRITE 128K
#
ylbs=as.character(m$system)
#
# set margines
# B L T R
par(mar=c(4, 1, 2, 6))
#
# GRAPHS
#
background = thist*0+.98
background = thist*0+.01
zeros = thist*0
cat(background)
cat(" \n")
for (i in 1:(ncol(thist)) ){
ymin <- -i + yminwidth - i*0.05
ymax <- -i + ymaxwidth
ser <- as.numeric(thist[, i])
back <- as.numeric(background[, i])
zero <- as.numeric(zeros[, i])
ser <- ser/130
#
# right side grey line
#
# sets up the plot
#
bp <- barplot(c(zeros,back), horiz = FALSE, axes = TRUE,
xlim = c(0, xwidth), ylim = c(ymin,ymax),
border=NA,
col = "gray50", space = 0, yaxt = "n" )
# right side second set
#
# middle latency graph
#
par(new = TRUE)
if ( i < 5 ) {
#
# color ribbon on bottom of chart
#
# there are 7 grades, A+,A,A-,B,B-,C,C-
# for each draw the coresponding color at the bottom of graph
for ( j in 7:1 ) {
latg=as.numeric(gm[j,(i)])
#x=(log10(latg)*3)-4
x1=x4=nrow(thist)+1
x2=x3=nrow(thist)+j*2+1
y1=y2=.1
y3=y4=.2
polygon(c(x1,x2,x3,x4),c(y1,y2,y3,y4), col=gmc[j],border=NA)
text((x2-1),y1,latg,adj=c(0,1),col="gray60",cex=.5)
}
#
# 95% line in middle graph, latency grade graph
#
lati=m$p95_00[i];
delta=as.numeric(gm[7,(i)])-as.numeric(gm[6,(i)])
min=as.numeric(gm[1,(i)])
max=as.numeric(gm[7,(i)])
cat("i ",i," ")
cat("lati ",lati," ")
cat("delta ",delta," ")
cat("min ",min," ")
cat("max ",max," ")
color="black"
if ( lati > max ) {
lati = 14 ;
color = "red"
} else {
lati=(2*(lati-min+delta))/delta
coltext=gmc[ceiling(lati/2)]
}
cat("lati ",lati,"\n")
if ( lati < 0 ) { lati = 0 ; color="blue"}
x1=x4=lati + nrow(thist) +1
x2=x3=lati + .4 +nrow(thist) +1
y1=y2=.1
y3=y4=.3
#
# latency line in middle graph
#
polygon(c(x1,x2,x3,x4),c(y1,y2,y3,y4), col=color,border=NA)
# latency = gradex
gradex=sprintf("%4.1f", m[i,'p95_00'] )
text((x2-1),(y1+.4),gradex,adj=c(0,1),col="gray60",cex=1)
# letter grade
text((x2-1),y1+.6,m$grade95[i],adj=c(0,1),col="gray20",cex=1,font=2)
if ( color == "red" ) {
arrows(14+nrow(thist),.2,15+nrow(thist),.2,col=color, length=.1)
}
#text(nrow(thist),.8 ,m$system[i],adj=c(.5,0),col="gray20",cex=1, font=2)
text(7,.8 ,m$system[i],adj=c(.5,0),col="gray20",cex=1, font=2)
}
text(nrow(thist)+6,.8 ,"latency grade",adj=c(.5,0),col="gray20",cex=1, font=1)
text(nrow(thist)+22,.8 ,"scale grade",adj=c(.5,0),col="gray20",cex=.75, font=1)
#
# avg latency line in middle graph, latency grade graph
#
lati=m$lat[i];
delta=as.numeric(gm[7,(i)])-as.numeric(gm[6,(i)])
min=as.numeric(gm[1,(i)])
max=as.numeric(gm[7,(i)])
color="green"
if ( lati > max ) {
lati = 14 ;
} else {
lati=(2*(lati-min+delta))/delta
coltext=gmc[ceiling(lati/2)]
}
if ( lati < 0 ) { lati = 0 }
x1=x4=lati + nrow(thist) +1
x2=x3=lati + .4 +nrow(thist) +1
y1=y2=.1
y3=y4=.3
polygon(c(x1,x2,x3,x4),c(y1,y2,y3,y4), col=color,border=NA)
# left side backgrounds in histogram rainbow measure tape
# 7 rows in grades, A+,A,A-,B,B-,C,C- , and column for each type which is 4 now
if ( i < 5 ) {
for ( j in 7:1 ) {
latg=as.numeric(gm[j,(i)])*1000
x=(log10(latg)*3)-4
x1=x4=0
x2=x3=x
y1=y2=-0.05
y3=y4=0
polygon(c(x1,x2,x3,x4),c(y1,y2,y3,y4), col=gmc[j],border=NA)
}
}
#
# HISTOGRAMS
#
par(new = TRUE)
bp <- barplot(c(ser,zero), horiz = FALSE, axes = TRUE,
xlim = c(0, xwidth), ylim = c(ymin,ymax),
border=NA,
col = "gray40", space = 0, yaxt = "n" )
# col = colors, space = 0, yaxt = "n" )
#
# 95% line over Histograms, black
# Avg line over Histograms, green
#
if ( i < 5 ) {
lata=m$lat[i]*1000;
xa=(log10(lata)*3)-4
lat95=m$p95_00[i]*1000;
x95=(log10(lat95)*3)-4
x1=x4=xa
x2=x3=xa-.1
#y1=y2=0
#y3=y4=-.05
y1=y2=.75
y3=y4=-.05
# Avg line over Histograms, green
polygon(c(x1,x2,x3,x4),c(y1,y2,y3,y4), col="green",border=NA)
x1=x4=x95
x2=x3=x95 -.1
# 95% line over Histograms, black
polygon(c(x1,x2,x3,x4),c(y1,y2,y3,y4), col="black",border=NA)
}
par(new = TRUE)
}
#
# NULL PLOT, but resets the boundaries, so following commands plot in the correct location
#
bp <- barplot(0, horiz = FALSE, axes = TRUE,
xlim = c(0, xwidth), ylim = c(yminwidth,ymaxwidth),
border=NA,
col = colors, space = 0, yaxt = "n" )
#
# X labels
#
xlbs=c("us50","us100","us250","us500","ms1","ms2","ms4","ms10","ms20","ms50","ms100","ms200","ms500","s1","s2","s5" )
for ( j in 1:length(xlbs) ) {
axis(1,at=j, labels=xlbs[j],col="gray60",las=2,cex.axis=.75,lty=1,lwd=1)
}
#
# left hand y axis labels
#
#
# GRADE STRING ex "A/A 99.9/0.9"
#
grade <- rep(NA,(nrow(m)-1) )
for ( i in 1:nrow(m) ) {
grade[i]= sprintf(" %-2s/%-2s %4.1f/%2.1f ",
m[i,'grade95'],m[i,'gscale95'], m[i,'p95_00'],as.numeric(m[i,'scale95']))
}
#
# SCALING WIDGET
#
x1 =xwidthg-1.75 +1.5
x2 =xwidthg+.25 +1.5
x1 =xwidthg-2 +1.5
x2 =xwidthg+1 +1.5
for ( j in 1:(nrow(m)) ) {
y1 = j
y2 = j+.05
y1 = j+.1
y2 = j+.15
scale=as.numeric(m$scale95[j,])
scalecolors = c("#A0F0A0" , # 1 A+
"#A0C060" , # 2 A
"#A0A060" , # 3 A-
"#A08080" , # 4 B
"#A06060" , # 5 B-
"#A03060" , # 6 C
"#A00060" # 7 C-
)
col = scalecolors[1]
if ( scale > gscale[1,1] ) { col =scalecolors[2]} #.05 - .1 A
if ( scale > gscale[2,1] ) { col =scalecolors[3]} # .1 - .2 A-
if ( scale > gscale[3,1] ) { col =scalecolors[4]} # .2 - .3 B
if ( scale > gscale[4,1] ) { col =scalecolors[5]} # .3 - .4 B-
if ( scale > gscale[5,1] ) { col =scalecolors[6]} # .4 - .6 C
if ( scale > gscale[6,1] ) { col =scalecolors[7]} # .6 - .9
if ( scale > gscale[7,1] ) { col ="red"} # .6 - .9
if ( scale > 1 ) { col ="red"}
# if scale less than 1, move left down and right up
if (scale <= 1 ) {
scale=scale/2
polygon(c(x1,x2,x2,x1),c(y1,y1,y2+scale,y1), col=col,border=NA)
# if scale more than 1, move left to the right and right up
} else {
scale = 1 - (1 /(scale) )
#polygon(c(x1+scale,x2,x2,x2-scale),c(y1,y1,y2,y2), col=col,border=NA)
polygon(c(x1+scale,x2,x2,x1),c(y1,y1,y2+.25,y1), col=col,border=NA)
}
scale=round(as.numeric(m$scale95[j,]),2)
text((x1+.1),y1+.2,scale, adj=c(-.0,1),col="gray60",cex=1)
text((x1+.1),y1+.5,m$gscale95[j],adj=c(-.3,1),col="gray60",cex=1)
}
#
# GRAPH borders for all graphs
#
x=1
onegraph=ymaxwidth/4
cat("onegraph ",onegraph,"\n")
for ( j in 1:length(xlbs) ) {
x=x+1
if ( x%%3 == 0 ) {
colors=colors[j]
colors="gray70"
#segments(j, 1, j, 2, lwd=1,lty=1, col= colors[j])
#segments(j, 2.1, j, 3.1, lwd=1,lty=1, col= colors[j])
segments(j, 1, j, 1.8, lwd=1,lty=3, col= colors)
polygon(c(0,nrow(thist),nrow(thist),0),
c(1,1,1.8,1.8),lwd=1,lty=1, col= "gray30", density=0)
segments(j, 2.02, j, 2.8, lwd=1,lty=3, col= colors)
polygon(c(0,nrow(thist),nrow(thist),0),
c(2.02,2.02,2.8,2.8),lwd=1,lty=1, col= "gray30", density=0)
segments(j, 3.04, j, 3.8, lwd=1,lty=3, col= colors)
polygon(c(0,nrow(thist),nrow(thist),0),
c(3.04,3.04,3.8,3.8),lwd=1,lty=1, col= "gray30", density=0)
segments(j, 4.05, j, 4.8, lwd=1,lty=3, col= colors)
polygon(c(0,nrow(thist),nrow(thist),0),
c(4.05,4.05,4.8,4.8),lwd=1,lty=1, col= "gray30", density=0)
#segments(j, -.5+onegraph, j, 2*onegraph -.2 , lwd=1,lty=1, col= colors[j])
#segments(j, .5+2*onegraph, j, 3*onegraph -.2 , lwd=1,lty=1, col= colors[j])
#segments(j, .51+3*onegraph, j, 4*onegraph -.2 , lwd=1,lty=1, col= colors[j])
beg=nrow(thist)+1
end=2*nrow(thist)+1
polygon(c(beg,end,end,beg),
c(1,1,1.8,1.8),lwd=1,lty=1, col= "gray30", density=0)
polygon(c(beg,end,end,beg),
c(2.02,2.02,2.8,2.8),lwd=1,lty=1, col= "gray30", density=0)
polygon(c(beg,end,end,beg),
c(3.04,3.04,3.8,3.8),lwd=1,lty=1, col= "gray30", density=0)
polygon(c(beg,end,end,beg),
c(4.05,4.05,4.8,4.8),lwd=1,lty=1, col= "gray30", density=0)
beg=2*nrow(thist)+3 +1.2
end=2*nrow(thist)+6.5 +1.2
polygon(c(beg,end,end,beg),
c(1,1,1.8,1.8),lwd=1,lty=1, col= "gray30", density=0)
polygon(c(beg,end,end,beg),
c(2.02,2.02,2.8,2.8),lwd=1,lty=1, col= "gray30", density=0)
polygon(c(beg,end,end,beg),
c(3.04,3.04,3.8,3.8),lwd=1,lty=1, col= "gray30", density=0)
polygon(c(beg,end,end,beg),
c(4.05,4.05,4.8,4.8),lwd=1,lty=1, col= "gray30", density=0)
}
}
#
# Scaling grades on the right
#
if ( 1 == 1 ) {
ybeg=1
yend=1.1
ybegl=1
yendl=1.1
i=1
# gscale <- matrix(c(.05,"A+", .1,"A", .2,"A-", .3,"B", .4,"B-", .6,"C", .9,"C-" ), nrow=2)
#for ( col in c( "#A0F0A0", "#A0C060" , "#A0A060" , "#A05060" , "#A03060" , "#A00060" ) ) {
# }
for ( col in scalecolors ) {
cat("col ", col , "\n")
xbeg=xwidth -.5
xend=xwidth+.5
ybeg=ybeg+.1
yend=yend+.1
polygon(c(xbeg,xend,xend,xbeg), c(ybeg,ybeg,yend,yend), lwd=1,lty=1, col=col, border=NA)
text(xend+.5,ybeg+.05,letters[i],adj=c(0,0),col="gray10",cex=.5)
xbeg=xwidth-6
xend=xwidth-7.5
ybegl=ybegl+.1
yendl=yendl+.1
polygon(c(xbeg,xend,xend,xbeg), c(ybegl,ybegl,yendl,yendl), lwd=1,lty=1, col=lcolors[i], border=NA)
text(xend+1.5,ybegl+.05,letters[i],adj=c(0,0),col="gray10",cex=.5)
i=i+1
}
text(xwidth/2,5.3,mold[1,1],adj=c(0,0),col="gray10",cex=1,font=2)
}
}
# m <- read.csv("data_emc.csv")
# chart_grades(m)