Description Usage Arguments Value Author(s) Examples
Creates two correlation plots between two variables, separated by a grouping variable containing two groups.
1 2 3 | gg.cor.vis(var_1, var_2, data, group,
group_1_title = "Group 1 Correlation",
group_2_title = "Group 2 Correlation")
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var_1 |
character string indicating the first variable for differential correlation |
var_2 |
character string indicating the second variable for differential correlation |
data |
dataframe for analysis |
group |
character string defining the grouping variable for comparative differential correlations |
group_1_title |
character string defining the first plot title |
group_2_title |
character string defining the title second plot title |
dual correlation plot for each group with correlation coefficents and p-values
Emily Mears, mears.emilyrose@gmail.com, Matthew Grant
Ben Day, benjamindayengineer@gmail.com
1 2 3 4 5 6 | ## Load example dataframes
df <- read.csv("example_data/excorr_df1.csv")
## Run function
gg.cor.vis(var_1 = "NTRpFI", var_2 = "X70J8B6", df, group = "sex")
gg.cor.vis(var_1 = "NTRpFI", var_2 = "X70J8B6", df, group = "sex", group_1_title = "Group 1 Correlation", group_2_title = "Group 2 Correlation")
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