cor_sim_seq: Calculate Correlation Between Similarity Measures for a...
In conversim: Conversation Similarity Analysis
View source: R/conversation_sequence_utilities.R
cor_sim_seq R Documentation
Calculate Correlation Between Similarity Measures for a Single Dyad
Description
Calculate Correlation Between Similarity Measures for a Single Dyad
Usage
cor_sim_seq(similarities, method = "pearson")
Arguments
similarities
A list of similarity measures for a single dyad
method
The correlation method to use (default is "pearson")
Details
This function calculates the correlation between different similarity measures for a single dyad.
Value
A correlation matrix
Examples
sim1 <- list(sequence = c(0.8, 0.7, 0.9), average = 0.8)
sim2 <- list(sequence = c(0.6, 0.8, 0.7), average = 0.7)
cor_sim_seq(list(sim1, sim2))
print(plot)
conversim documentation built on Sept. 20, 2024, 5:09 p.m.
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View source: R/conversation_sequence_utilities.R
| cor_sim_seq | R Documentation |
Calculate Correlation Between Similarity Measures for a Single Dyad
Description
Calculate Correlation Between Similarity Measures for a Single Dyad
Usage
cor_sim_seq(similarities, method = "pearson")
Arguments
similarities |
A list of similarity measures for a single dyad |
method |
The correlation method to use (default is "pearson") |
Details
This function calculates the correlation between different similarity measures for a single dyad.
Value
A correlation matrix
Examples
sim1 <- list(sequence = c(0.8, 0.7, 0.9), average = 0.8)
sim2 <- list(sequence = c(0.6, 0.8, 0.7), average = 0.7)
cor_sim_seq(list(sim1, sim2))
print(plot)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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