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pelvis_comparison.R
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<<<<<<< HEAD
library(ggplot2)
library(dplyr)
library(tidyr)
# Define the corrected data without timepoint 1
time_points <- c(0.11, 0.5, 1, 3, 10)
# Left Pelvis Data
Left_Pelvis_data <- data.frame(
Time = factor(time_points, levels = time_points),
AGuIX = c(0.018858551,
0.401121825,
1.609545433,
3.745254,
4.820205167
),
Dotarem = c(-0.062537946,
0.133881275,
2.019058729,
2.049127701,
1.799733513
)
)
left_pelvis_aguix_error <- c(0.018949941,
0.463628007,
1.1081571,
1.082643282,
2.686451762
)
left_pelvis_dotarem_error <- c(0.116849447,
0.902847745,
1.200840949,
0.484572563,
0.465550156
)
# Right Pelvis Data
Right_Pelvis_data <- data.frame(
Time = factor(time_points, levels = time_points),
AGuIX = c(0.008858551,
0.301121825,
1.509545433,
3.645254,
4.720205167
),
Dotarem = c(-0.052537946,
0.123881275,
1.919058729,
1.949127701,
1.699733513
)
)
right_pelvis_aguix_error <- c(0.018949941,
0.463628007,
1.1081571,
1.082643282,
2.686451762
)
right_pelvis_dotarem_error <- c(0.116849447,
0.902847745,
1.200840949,
0.484572563,
0.465550156
)
# Add an index to each row before reshaping
Left_Pelvis_data <- Left_Pelvis_data %>% mutate(Index = row_number())
Right_Pelvis_data <- Right_Pelvis_data %>% mutate(Index = row_number())
# Reshape data
Left_Pelvis_long <- Left_Pelvis_data %>%
pivot_longer(cols = c(AGuIX, Dotarem), names_to = "Agent", values_to = "Signal") %>%
mutate(
Error = ifelse(Agent == "AGuIX", left_pelvis_aguix_error[Index], left_pelvis_dotarem_error[Index])
) %>%
select(-Index)
Right_Pelvis_long <- Right_Pelvis_data %>%
pivot_longer(cols = c(AGuIX, Dotarem), names_to = "Agent", values_to = "Signal") %>%
mutate(
Error = ifelse(Agent == "AGuIX", right_pelvis_aguix_error[Index], right_pelvis_dotarem_error[Index])
) %>%
select(-Index)
# Combine datasets
combined_data_pelvis <- bind_rows(Left_Pelvis_long, Right_Pelvis_long) %>%
mutate(Location = rep(c("Left Pelvis", "Right Pelvis"), each = 10))
# Define font sizes
font_family <- "Arial"
font_size_title <- 35
font_size_axis_title <- 30
font_size_text <- 25
font_size_facet <- 25
# Plot
gg_pelvis <- ggplot(combined_data_pelvis, aes(x = Time, y = Signal, fill = Agent)) +
geom_bar(stat = "identity", position = position_dodge(width = 0.7), width = 0.6) +
geom_errorbar(aes(ymin = pmax(Signal - Error, 0.0), ymax = Signal + Error), width = 0.2, position = position_dodge(width = 0.7)) +
scale_fill_manual(values = c("AGuIX" = "lightblue", "Dotarem" = "gold")) +
facet_wrap(~Location, scales = "free_y") +
labs(x = "Time (min)", y = "[Gd] (mg/mL)") +
theme_minimal() +
theme(
text = element_text(family = font_family),
plot.title = element_text(size = font_size_title, face = "bold", hjust = 0.5),
axis.title = element_text(size = font_size_axis_title),
axis.title.y = element_text(size = font_size_axis_title, vjust = 1.0),
axis.text = element_text(size = font_size_text, face = "bold"),
axis.text.x = element_text(vjust = 0.15),
axis.text.y = element_text(hjust = 0.15),
legend.title = element_blank(),
legend.text = element_text(size = 35),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
strip.text = element_text(size = font_size_facet, face = "bold"),
axis.line = element_line(color = "black", size = 1)
) +
scale_y_continuous(expand = expansion(mult = c(0, 0.05)), limits = function(x) c(0, 8)) +
geom_vline(xintercept = c(2.5, 4.5), linetype = "dotted", color = "black") +
geom_hline(yintercept = 0.2, linetype = "dotted", color = "black", size = 1.5)
print(gg_pelvis)
ggsave("output_plot_pelvis.png", plot = gg_pelvis, width = 9000, height = 2500, units = "px")
=======
library(ggplot2)
library(dplyr)
library(tidyr)
# Define the corrected data without timepoint 1
time_points <- c(0.11, 0.5, 1, 3, 10)
# Left Pelvis Data
Left_Pelvis_data <- data.frame(
Time = factor(time_points, levels = time_points),
AGuIX = c(0.018858551,
0.401121825,
1.609545433,
3.745254,
4.820205167
),
Dotarem = c(-0.062537946,
0.133881275,
2.019058729,
2.049127701,
1.799733513
)
)
left_pelvis_aguix_error <- c(0.018949941,
0.463628007,
1.1081571,
1.082643282,
2.686451762
)
left_pelvis_dotarem_error <- c(0.116849447,
0.902847745,
1.200840949,
0.484572563,
0.465550156
)
# Right Pelvis Data
Right_Pelvis_data <- data.frame(
Time = factor(time_points, levels = time_points),
AGuIX = c(0.008858551,
0.301121825,
1.509545433,
3.645254,
4.720205167
),
Dotarem = c(-0.052537946,
0.123881275,
1.919058729,
1.949127701,
1.699733513
)
)
right_pelvis_aguix_error <- c(0.018949941,
0.463628007,
1.1081571,
1.082643282,
2.686451762
)
right_pelvis_dotarem_error <- c(0.116849447,
0.902847745,
1.200840949,
0.484572563,
0.465550156
)
# Add an index to each row before reshaping
Left_Pelvis_data <- Left_Pelvis_data %>% mutate(Index = row_number())
Right_Pelvis_data <- Right_Pelvis_data %>% mutate(Index = row_number())
# Reshape data
Left_Pelvis_long <- Left_Pelvis_data %>%
pivot_longer(cols = c(AGuIX, Dotarem), names_to = "Agent", values_to = "Signal") %>%
mutate(
Error = ifelse(Agent == "AGuIX", left_pelvis_aguix_error[Index], left_pelvis_dotarem_error[Index])
) %>%
select(-Index)
Right_Pelvis_long <- Right_Pelvis_data %>%
pivot_longer(cols = c(AGuIX, Dotarem), names_to = "Agent", values_to = "Signal") %>%
mutate(
Error = ifelse(Agent == "AGuIX", right_pelvis_aguix_error[Index], right_pelvis_dotarem_error[Index])
) %>%
select(-Index)
# Combine datasets
combined_data_pelvis <- bind_rows(Left_Pelvis_long, Right_Pelvis_long) %>%
mutate(Location = rep(c("Left Pelvis", "Right Pelvis"), each = 10))
# Define font sizes
font_family <- "Arial"
font_size_title <- 35
font_size_axis_title <- 30
font_size_text <- 25
font_size_facet <- 25
# Plot
gg_pelvis <- ggplot(combined_data_pelvis, aes(x = Time, y = Signal, fill = Agent)) +
geom_bar(stat = "identity", position = position_dodge(width = 0.7), width = 0.6) +
geom_errorbar(aes(ymin = pmax(Signal - Error, 0.0), ymax = Signal + Error), width = 0.2, position = position_dodge(width = 0.7)) +
scale_fill_manual(values = c("AGuIX" = "lightblue", "Dotarem" = "gold")) +
facet_wrap(~Location, scales = "free_y") +
labs(x = "Time (min)", y = "[Gd] (mg/mL)") +
theme_minimal() +
theme(
text = element_text(family = font_family),
plot.title = element_text(size = font_size_title, face = "bold", hjust = 0.5),
axis.title = element_text(size = font_size_axis_title),
axis.title.y = element_text(size = font_size_axis_title, vjust = 1.0),
axis.text = element_text(size = font_size_text, face = "bold"),
axis.text.x = element_text(vjust = 0.15),
axis.text.y = element_text(hjust = 0.15),
legend.title = element_blank(),
legend.text = element_text(size = 35),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
strip.text = element_text(size = font_size_facet, face = "bold"),
axis.line = element_line(color = "black", size = 1)
) +
scale_y_continuous(expand = expansion(mult = c(0, 0.05)), limits = function(x) c(0, 8)) +
geom_vline(xintercept = c(2.5, 4.5), linetype = "dotted", color = "black") +
geom_hline(yintercept = 0.2, linetype = "dotted", color = "black", size = 1.5)
print(gg_pelvis)
ggsave("output_plot_pelvis.png", plot = gg_pelvis, width = 9000, height = 2500, units = "px")
>>>>>>> 77a3982bf0902d3f28a8584daad61788e60cc341