sm_slope_all {smplot2}

Calculating the slope across multiple conditions and subjects

Description

This function returns a data frame containing slope (from linear regression) from a data frame that contains the original raw data.

The user can use lm() from base R to compute the slope as well.

Usage

sm_slope_all(data, subjects, groups, conditions, x, values)

Arguments

data

Name of the variable that stores the data frame that contains the columns with the specified column names.

subjects

The name of the column of the data frame that contains subjects. It must be strings.

groups

The name of the column of the data frame that contains each group. It must be strings.

conditions

The name of the column of the data frame that contains each condition. It must be strings.

x

The name of the column of the data frame that contains the x-axis points/x coordinates from which the slopes can be calculated. It must be strings. The column must not have characters.

values

The name of the column of the data frame that contains the actual data, which are the y-axis points from which the slope can be calculated. It must be strings.

Value

Returns a data frame containing slopes for each subject and each experimental condition and/or group.

Examples

library(smplot2)
set.seed(1) # generate random data
day1 = rnorm(16,0,1)
day2 = rnorm(16,5,1)
Subject <- rep(paste0('S',seq(1:16)), 2)
Value <- data.frame(Value = matrix(c(day1,day2),ncol=1))
Day <- rep(c(1,2), each = length(day1))
Condition <- rep('Control', length(day1)*2)
df <- cbind(Subject, Value, Condition, Day)

sm_slope_all(data = df, subjects = 'Subject',values = 'Value',
conditions = 'Condition',x = 'Day')