summarize_measurements: Summarize Table

In forceR: Force Measurement Analyses

Summarize Table

Description

Finds minimum, maximum and standard deviation of force per measurement and taxon and creates summary tibble.

Usage

summarize_measurements(df, var1, var2)

Arguments

df	Data frame or tibble containing at least three columns. The column names must contain the grouping variables defined in var1 and var2 and the column force (time series of force measurements).
var1	A character string defining the column to calculate minimal and maximal force values per measurement. This must be the column that contains the unique measurement ID, e.g. measurement number.
var2	A character string defining the column for which the summary should be calculated.

Value

A tibble summarizing the input data frame df. The resulting tibble will contain the columns t, force, measurement, species, specimen, amp, lever.ratio, max.F.measurement, mean.F.specimen, max.F.specimen, sdv.max.F.specimen, n.measurements.in.specimen.

Examples

# Using the forceR::df.all.200.tax dataset:

# sumarize by measurement and specimen
df.summary.specimen <- summarize_measurements(df = df.all.200.tax,
                                              var1 = "measurement",
                                              var2 = "specimen")


#  plot results
## Not run: 
require(ggplot2)
ggplot(data = df.summary.specimen, mapping = aes(x=specimen,y=max.F.measurement)) +
  geom_jitter(aes(color='blue'),alpha=0.7) +
  geom_boxplot(fill="bisque",color="black",alpha=0.3) +
  # scale_y_log10() +
  labs(y="max(F)/specimen") +
  guides(color="none") +
  theme_minimal()

## End(Not run)

forceR documentation built on March 7, 2023, 7:15 p.m.