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drcte (version 1.0.30)

lotusOr: Germination assay with Lotus ornithopodioides

Description

Seeds of L. ornithopodioides were harvested in three stages after anthesis and the time course of their germination was evaluated in Petri dishes. This is the original dataset, as collected by the technicians and needs to be transformed into a form that is suitable for time-to-event analysis in R.

Usage

data("lotusOr")

Arguments

Format

A data frame with 12 observations on the following 17 variables.

Stage

a factor with levels A B C

Dish

a numeric vector: code of Petri dish

1

a numeric vector: counts at day 1

2

a numeric vector: counts at day 2

3

a numeric vector: counts at day 3

4

a numeric vector: counts at day 4

5

a numeric vector: counts at day 5

6

a numeric vector: counts at day 6

7

a numeric vector: counts at day 7

8

a numeric vector: counts at day 8

9

a numeric vector: counts at day 9

10

a numeric vector: counts at day 10

11

a numeric vector: counts at day 11

12

a numeric vector: counts at day 12

13

a numeric vector: counts at day 13

14

a numeric vector: counts at day 14

15

a numeric vector: counts at day 15

Details

Every line of data represents a Petri dish. There were 25 seeds per Petri dish. The columns represent the characteristics of each Petri dish. The columns from 1 to 15 represent the number of germinated seeds counted in each assessment time. Seeds of Lotus ornithopodioides were harvested at the following stages (A) Green fleshy pods with brilliant gree sedds (27 Days After Anthesis; DAA), (B) green pergamenous pods with brown soft seeds (35 DAA) and (C) green pergamenous pods with brown seeds and moderately hard (41 DAA).

References

Gresta, F., Avola, G., Onofri, A., Anastasi, U., Cristaudo, A., 2011. When Does Hard Coat Impose Dormancy in Legume Seeds? Lotus and Scorpiurus Case Study. Crop Science 51, 1739–1747.

Examples

Run this code
data(lotusOr)
datasetG <- melt_te(lotusOr, count_cols = 3:17, treat_cols = Stage,
            monitimes = 1:15, n.subjects = rep(25,12))
head(datasetG, 16)

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