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e.R
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e.R
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library(ggplot2)
library(plotly)
library(gapminder)
library(ggridges)
library(rowr)
libary(dplyr)
# Load Data
timing <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/TimingBased/Processed/complete.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
timer <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/Timer/Processed/complete_timer.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
inline <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/Inline/Processed/comple_inline.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
mhz16 <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/TimingBased/Processed/16Mhz.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
#
D7_7 <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/TimingBased/16Mhz/7_7.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
D5_7 <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/TimingBased/16Mhz/5_7.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
D5_11 <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/TimingBased/16Mhz/5_11.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
D8_7 <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/TimingBased/16Mhz/8_7.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
# Make tries into %
timing$V2 <- timing$V2 * 10
timer$V2 <- timer$V2 * 10
inline$V2 <- inline$V2 * 10
cleaned_timer <- timer %>%
filter(V2==100)
ggplot(timing[which(timing$V2==100),], aes(x=as.factor(V3), y=V1)) +
geom_boxplot(fill="slateblue", alpha=0.2) +
ylim(0, 100000) +
xlab("Frequenz") +
ylab("Baud")
ggplot(inline[which(inline$V2==100),], aes(x=as.factor(V3), y=V1)) +
geom_boxplot(fill="slateblue", alpha=0.2) +
ylim(0, 100000) +
xlab("Frequenz") +
ylab("Baud")
ggplot(cleaned_timer, aes(x=as.factor(V3), y=V1)) +
geom_boxplot(fill="slateblue", alpha=0.2) +
ylim(0, 100000) +
xlab("Frequenz") +
ylab("Baud")
ggplot(data = timing[which(timing$V2>1),], aes(x = V3, y = V1, color = V2, weight = V1 * (V2 / 100))) +
# geom_point() +
geom_jitter(width = 0.1, size = 1) +
geom_smooth(method="lm", se = FALSE) +
ylim(0, 120000) +
xlab("Taktrate des Mikrocontrollers [Mhz]") +
ylab("Übertragungsgeschwindigkeit [bps]") +
labs(color = "Erfolg-\nreiche\nÜber-\ntragungen\n[%]") +
scale_x_continuous(breaks = seq(0, 12, 1))
#title = "Erfolreiche Übertragungen in Abhänigkeit von Übertragunsgeschwindigkeiten und Taktraten\nbei Benutzung der autom. Taktberechnung",
ggplot(data = inline[which(inline$V2>1),], aes(x = V3, y = V1, color = V2, weight = V1 * (V2 / 100))) +
# geom_point() +
geom_jitter(width = 0.1, size = 1) +
geom_smooth(method="lm", se = FALSE) +
ylim(0, 120000) +
xlab("Taktrate des Mikrocontrollers [Mhz]") +
ylab("Übertragungsgeschwindigkeit [bps]") +
labs(color = "Erfolg-\nreiche\nÜber-\ntragungen\n[%]") +
scale_x_continuous(breaks = seq(0, 12, 1))
#title = "Erfolreiche Übertragungen in Abhänigkeit von Übertragunsgeschwindigkeiten und Taktraten\nbei Benutzung von Assembler"
ggplot(data = timer[which(timer$V2>1),], aes(x = V3, y = V1, color = V2, weight = V1 * (V2 / 100))) +
# geom_point() +
geom_jitter(width = 0.1, size = 1) +
geom_smooth(method="lm", se = FALSE) +
ylim(0, 120000) +
xlab("Taktrate des Mikrocontrollers [Mhz]") +
ylab("Übertragungsgeschwindigkeit [bps]") +
labs(color = "Erfolg-\nreiche\nÜber-\ntragungen\n[%]") +
scale_x_continuous(breaks = seq(0, 12, 1))
#title = "Erfolreiche Übertragungen in Abhänigkeit von Übertragunsgeschwindigkeiten und Taktraten\nbei Benutzung eines Timers",
tmpTiming <- timing[timing[, "V3"]==10,]
tmpTiming[tmpTiming[, "V3"]==10,]$V3 <- "Autom. Timing Berechnung"
tmpInline <- inline[inline[, "V3"]==10,]
tmpInline[tmpInline[, "V3"]==10,]$V3 <- "Inline Assembler"
tmpTimer <- timer[timer[, "V3"]==10,]
tmpTimer[tmpTimer[, "V3"]==10,]$V3 <- "Timer"
compare10MHZ <- rbind(tmpTiming, tmpInline, tmpTimer)
ggplot(compare10MHZ, aes(V2, V1, color = V2)) +
ylim(0, 120000) +
geom_point() +
facet_wrap(vars(V3)) +
ylab("Übertragungsgeschwindigkeit [bps]") +
labs(color = "Erfolg-\nreiche\nÜber-\ntragungen\n[%]") +
xlab("Erfolgreiche Übertragungen [%]")
ggplot(mhz16, aes(V1, V2)) +
geom_point(size = .5) +
annotate("rect", ymin=0, ymax=Inf, xmin=0, xmax=1097, alpha=0.2, fill="red") +
annotate("rect", ymin=0, ymax=Inf, xmin=1097, xmax=72074, alpha=0.2, fill="green") +
annotate("rect", ymin=0, ymax=Inf, xmin=72074, xmax=91673, alpha=0.2, fill="yellow") +
annotate("rect", ymin=0, ymax=Inf, xmin=91673, xmax=Inf, alpha=0.2, fill="red") +
xlab("Übertragungsgeschwindigkeit [bps]") +
ylab("Erfolgreiche Übertragungen [%]")
D5_7$name <- rep("7 Sync., 7 Trans",nrow(D5_7))
D7_7$name <- rep("5 Sync., 7 Trans",nrow(D7_7))
D8_7$name <- rep("8 Sync., 7 Trans",nrow(D8_7))
D5_11$name <- rep("5 Sync., 11 Trans",nrow(D5_11))
compareCycles <- rbind(D5_7, D7_7, D8_7, D5_11)
ggplot(compareCycles, aes(V1, V2, color = name)) +
geom_point() +
geom_smooth(method = "loess", formula = y ~ x, se = FALSE) +
facet_wrap(~name) +
scale_y_continuous(breaks = seq(0, 100, 20)) +
ylim(c(0,100)) +
xlab("Übertragungsgeschwindigkeit [bps]") +
ylab("Erfolgreiche Übertragungen [%]") +
labs(color = "Taktzyklen\nSynchronisation /\nDatentransfer")
cpb_timing <- character(length(12))
cpb_timer <- character(length(12))
cpb_inline <- character(length(12))
for (i in 1:12) {
z <- as.vector(floor(timing[which(timing$V3==i),][['V2']] / 100))
run <- rle(z)
# r is drunk / fubar / glitched
#print(r[1:5]) #[which(max(r$lengths) == r$lengths), ]
cpb_timing[i] <- (i*1000000) / max(timing[which(timing$V2==100 & timing$V3==i),])
cpb_timer[i] <- (i*1000000) / max(timer[which(timer$V2==100 & timer$V3==i),])
cpb_inline[i] <- (i*1000000) / max(inline[which(inline$V2==100 & inline$V3==i),])
}
#cpb_timing[16] <- 16000000 / 88031
#cpb_timer[16] <- 16000000 / 66034
#cpb_inline[16] <- 16000000 / 73699
print(cpb_timing)
max_data <- data.frame(cpb_timing, 1:12, "Autom. Timing")
colnames(max_data) <- c("data", "mhz", "name")
max_data2 <- data.frame(cpb_timer, 1:12, "Timer")
colnames(max_data2) <- c("data", "mhz", "name")
max_data3 <- data.frame(cpb_inline, 1:12, "Assembler")
colnames(max_data3) <- c("data", "mhz", "name")
max_data44 <- rbind(max_data, max_data2, max_data3)
ggplot(max_data44, aes(x = as.numeric(mhz), y = as.numeric(as.character(data)), color = name)) +
geom_point() +
geom_smooth(se = FALSE) +
xlab("Taktfrequenz [Mhz]") +
ylab("Taktzyklen pro Übertragenem Bit")
bootsize <- read.table("E:/Dokumente/seafile/Seafile/Seafile/Main/Dokumente/FH/Bachelor/values/Bootloader/sizes.txt",
sep = "" , header = F , na.strings ="", stringsAsFactors= F)
ggplot(bootsize, aes(x = V3, y = V1, fill = V2)) +
scale_y_continuous(breaks = seq(0, 600, 50)) +
geom_bar(stat='identity') +
ylab("Flashgröße [Byte]") +
labs(fill = "Bereich") +
xlab("Methode")