triticum: Diploid wheat
In smbdata: Data from "Statistical Methods in Biology"
triticum R Documentation
Diploid wheat
Description
A dataset was collected to investigate morphological characteristics associated with seed weight in a line of diploid wheat (Triticum monococcum). Measurements were taken on 190 randomly selected seeds, recording five traits for each seed: weight (mg), diameter (mm), length (mm), moisture content (percentage), and endosperm hardness (index value from a single-kernel characterization system). Each seed is uniquely identified by the variable DSeed. The primary aim of the study is to identify which variables, particularly seed length, contribute to variation in seed weight. This dataset enables the analysis of relationships among seed traits within a genetically uniform wheat line.
Usage
triticum
Format
A data frame with 6 variables: DSeed, Weight, Length, Diameter, Moisture, Hardness.
- DSeed
Factor. Unique identifier for each seed.
- Weight
Numeric. Weight of the seed (in milligrams, mg).
- Length
Numeric. Length of the seed (in millimeters, mm).
- Diameter
Numeric. Diameter of the seed (in millimeters, mm).
- Moisture
Numeric. Moisture content of the seed (as a percentage).
- Hardness
Numeric. Endosperm hardness, measured as a single-kernel characterization system index value.
Source
Welham, S. J., Gezan, S. A., Clark, S. J., and Mead, A. (2015) Statistical Methods in Biology: Design and analysis of experiments and regression
Examples
lm(Weight ~ Length, data = triticum)
smbdata documentation built on Jan. 20, 2026, 5:06 p.m.
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| triticum | R Documentation |
Diploid wheat
Description
A dataset was collected to investigate morphological characteristics associated with seed weight in a line of diploid wheat (Triticum monococcum). Measurements were taken on 190 randomly selected seeds, recording five traits for each seed: weight (mg), diameter (mm), length (mm), moisture content (percentage), and endosperm hardness (index value from a single-kernel characterization system). Each seed is uniquely identified by the variable DSeed. The primary aim of the study is to identify which variables, particularly seed length, contribute to variation in seed weight. This dataset enables the analysis of relationships among seed traits within a genetically uniform wheat line.
Usage
triticum
Format
A data frame with 6 variables: DSeed, Weight, Length, Diameter, Moisture, Hardness.
- DSeed
Factor. Unique identifier for each seed.
- Weight
Numeric. Weight of the seed (in milligrams, mg).
- Length
Numeric. Length of the seed (in millimeters, mm).
- Diameter
Numeric. Diameter of the seed (in millimeters, mm).
- Moisture
Numeric. Moisture content of the seed (as a percentage).
- Hardness
Numeric. Endosperm hardness, measured as a single-kernel characterization system index value.
Source
Welham, S. J., Gezan, S. A., Clark, S. J., and Mead, A. (2015) Statistical Methods in Biology: Design and analysis of experiments and regression
Examples
lm(Weight ~ Length, data = triticum)
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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