Phenomics_Stems | R Documentation |
A dataset containing phenotypic variables measured on floral stems of five A. thaliana genotypes at two growth temperatures. See Ecotype and Temperature for more information.
data("Phenomics_Stems")
A data frame with 30 rows and 4 variables:
Mass: floral stems mass (g)
Diameter: floral stems diameter (mm)
Length: length of the floral stems (cm)
Number_lateral_stems: number of lateral stems)
doi: 10.3390/cells9102249
# Load the data data("Phenomics_Stems") # Look at simple statistics dim(Phenomics_Stems) summary(Phenomics_Stems) # 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: Lateral stems distribution plot(x = as.factor(substr(row.names(Phenomics_Stems), 1, 7)), y = Phenomics_Stems$Number_lateral_stems, col = "white", lty = 0, xlab = "Genotype x Temperature groups", ylab = "Number of lateral stems", main = "Lateral stems' distribution by genotype and growth temperature" ) grid() points(x = as.factor(substr(row.names(Phenomics_Stems), 1, 7)), y = Phenomics_Stems$Number_lateral_stems, type = "p", pch = 19, lwd = 5, col = colors)
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