Numeric Score-Based Conditional and Overall Change-in-Status Indices for Ordered Categorical DataChange score, Dirichlet, Multinomial, Ordinal dataPlanned interventions and/or natural conditions often effect change on an ordinal categorical outcome (e.g., symptom severity). In such scenarios it is ...
Sequentialpalettes are best used on data that has a clear order from low to high, such as “Small”, “Medium”, and “Large” or numeric data going from 0 – 100 Qualitativepalettes are best used on categorical data with no inherent order or magnitude, such as “United States” or “...
Bug Fix: loadd() would fail to load .gdat files if a formula string transformed a numeric variable to categorical or string. Bug Fix: saved() would report an error if saving a dataset with only numeric variables. Bug Fix: kerneldensity() would not respect x-label setting if a plot set...
The variables x and y are numeric and the variable group defines which data point corresponds to which line.We also need to install and load the ggplot2 package, if we want to use the functions that are contained in the package:install.packages("ggplot2") # Install & load ggplot2 ...
A float variable (or a double, according to set type) is created if the result is numeric, and a string variable is created if the result is a string. In the latter case, if the string variable contains values greater than 2,045 characters or contains values with a binary 0 (\0), ...
categorical principal component analysis. The potential correlation between the dimensions of resilience capacities and different types of weather-related shocks is tested. The research shows that smallholder rice farming households in the study area have a low overall level of resilience. Moreover, ...
Improved handling of categorical slots with text values when using CALM. Slot values extracted by the command generator (LLM) will be stored in the same casing as the casing used to define the categorical slot values in the domain. E.g. A categorical slot defined to store the values ["A"...
The second flowering metric is the categorical variable “peak flowering season” (“yes” or “no” - when 50% of MW species are in peak flowering). This metric would best describe a threshold effect, where hiker satisfaction increases when hiking during the peak wildflower season but does ...
Finally, the correlation matrix was computed in R using the hetcor function of ‘polycor’ package owing to the mixed type of variables. The hetcor function calculates Pearson product-moment between numeric variables, polyserial correlations between numeric and ordinal variables and polychoric ...
12 changes: 8 additions & 4 deletions 12 R/construct_ligand_to_target.R Original file line numberDiff line numberDiff line change @@ -227,7 +227,7 @@ construct_ligand_tf_matrix = function(weighted_networks, ligands, ltf_cutoff = 0 # convert ids to numeric for making Matrix::sparse...