Phenomics_Rosettes {WallomicsData}

Phenomics Rosettes

Description

A dataset containing phenotypic variables measured on rosettes of five A. thaliana genotypes at two growth temperatures. See Ecotype and Temperature for more information.

Usage

data("Phenomics_Rosettes")

Format

A data frame with 30 rows and 5 variables:

• Mass: rosette mass (g)

• Diameter: rosette diameter (cm)

• Leaves_number: total number of leaves

• Density: rosette density (g/cm²)

• Area: projected rosette area (cm²)

Source

doi: 10.3390/cells9102249

Examples

# Load the data
data("Phenomics_Rosettes")

# Look at simple statistics
dim(Phenomics_Rosettes)
summary(Phenomics_Rosettes)

# Create a colors' vector
colors <- c(rep("#A6CEE3",3), rep("#1F78B4",3), rep("#B2DF8A",3), rep("#33A02C",3),
            rep("#FB9A99",3), rep("#E31A1C",3), rep("#FDBF6F",3), rep("#FF7F00",3),
            rep("#CAB2D6",3), rep("#6A3D9A",3))

# A graphical representation: Leaves number distribution
plot(x = as.factor(substr(row.names(Phenomics_Rosettes), 1, 7)),
     y = Phenomics_Rosettes$Leaves_number, col = "white", lty = 0,
     xlab = "Genotype x Temperature groups",
     ylab = "Number of rosette leaves",
     main = "Rosette leaves' distribution by genotype and growth temperature"
     )
grid()
points(x = as.factor(substr(row.names(Phenomics_Rosettes), 1, 7)),
       y = Phenomics_Rosettes$Leaves_number, type = "p", pch = 19, lwd = 5,
       col = colors)