if (!require(pacman)) install.packages("pacman", dependencies = TRUE)
## Loading required package: pacman
library(pacman)
p_load("vroom", "dplyr", "ggplot2", "ggrepel", "tidyr")
p_load("vroom",
"dplyr",
"ggplot2",
"ggrepel",
"tidyr")
Curvas_amplif <- vroom(file = "https://raw.githubusercontent.com/ManuelLaraMVZ/Metabolomica_2026_1/refs/heads/main/Amplificaci%C3%B3n-RT-qPCR-20261_G2.csv")
## Rows: 51 Columns: 4
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (4): Cycle, A1, A2, A3
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Curvas_amplif
## # A tibble: 51 × 4
## Cycle A1 A2 A3
## <dbl> <dbl> <dbl> <dbl>
## 1 1 -0.879 -4.30 3.25
## 2 2 3.31 3.52 4.15
## 3 3 1.08 2.89 5.17
## 4 4 2.67 3.78 1.40
## 5 5 1.63 0.130 1.76
## 6 6 -3.51 0.0527 -3.50
## 7 7 1.98 -1.98 1.84
## 8 8 3.00 1.44 -2.53
## 9 9 -2.66 -0.956 -2.88
## 10 10 2.90 3.25 1.06
## # ℹ 41 more rows
Curvas_amplif2 <- Curvas_amplif %>%
mutate(Ciclos = Cycle) %>%
select(Ciclos, A1, A2, A3) %>%
filter(Ciclos >= 21)
Curvas_amplif2
## # A tibble: 31 × 4
## Ciclos A1 A2 A3
## <dbl> <dbl> <dbl> <dbl>
## 1 21 106. 44.5 76.2
## 2 22 126. 66.0 108.
## 3 23 140. 90.4 137.
## 4 24 156. 116. 163.
## 5 25 170. 139. 183.
## 6 26 182. 162. 200.
## 7 27 191. 180. 216.
## 8 28 202. 198. 229.
## 9 29 208. 210. 240.
## 10 30 214. 220. 248.
## # ℹ 21 more rows
Curvas_amplif3 <- Curvas_amplif2 %>%
pivot_longer(
cols = -Ciclos,
names_to = "Muestras",
values_to = "Fluorescencias"
)
Curvas_amplif3
## # A tibble: 93 × 3
## Ciclos Muestras Fluorescencias
## <dbl> <chr> <dbl>
## 1 21 A1 106.
## 2 21 A2 44.5
## 3 21 A3 76.2
## 4 22 A1 126.
## 5 22 A2 66.0
## 6 22 A3 108.
## 7 23 A1 140.
## 8 23 A2 90.4
## 9 23 A3 137.
## 10 24 A1 156.
## # ℹ 83 more rows
Umbral_ciclos <- 150
Curvas_amplif_grafica <- ggplot(Curvas_amplif3,
aes(x = Ciclos,
y = Fluorescencias,
color = Muestras)) +
geom_line(linewidth = 1.5) +
geom_hline(yintercept = Umbral_ciclos, linetype = "dashed", color = "#581845") +
theme_classic() +
labs(title = "Curvas de amplificación Valores Relativos",
subtitle = "Práctica Final, \nEquipo: LSD, A1",
caption = "Todas las muestras",
x = "Ciclos",
y = "Fluorescencia (u.a.)") +
theme(
axis.line = element_line(linewidth = 1.2, color = "black"),
axis.title = element_text(face = "bold"),
axis.text = element_text(face = "bold"),
legend.title = element_text(face = "bold"),
legend.text = element_text(face = "bold")
) +
scale_x_continuous(
breaks = seq(min(Curvas_amplif3$Ciclos),
max(Curvas_amplif3$Ciclos),
by = 2)
) +
scale_y_continuous(
labels = scales::number_format(accuracy = 1),
breaks = seq(
min(Curvas_amplif3$Fluorescencias),
max(Curvas_amplif3$Fluorescencias),
by = 20
)
)
Curvas_amplif_grafica

Grafica_equipos <- ggplot(Curvas_amplif2,
aes(x = Ciclos,
y = A1)) +
geom_line(color = "#6287f1", linewidth = 1.5) +
geom_hline(yintercept = Umbral_ciclos, linetype = "dashed", color = "#581845") +
theme_classic() +
labs(title = "Curvas de amplificación RT-qPCR",
subtitle = "Muestra: A1",
caption = "Diseño: LSD",
x = "Ciclos",
y = "Fluorescencia (u.a.)") +
theme(
axis.line = element_line(linewidth = 1.2, color = "black"),
axis.title = element_text(face = "bold"),
axis.text = element_text(face = "bold")
) +
scale_x_continuous(
breaks = seq(min(Curvas_amplif2$Ciclos),
max(Curvas_amplif2$Ciclos),
by = 2)
) +
scale_y_continuous(
labels = scales::number_format(accuracy = 1),
breaks = seq(
min(Curvas_amplif2$A1),
max(Curvas_amplif2$A1),
by = 20
)
)
Grafica_equipos
