Nothing
#' @importFrom stats family
blr_check_model <- function(model) {
model_class <- class(model)[1] == "glm"
model_family <- isTRUE(family(model)$family == "binomial")
fmla <- deparse(formula(model))
data <- deparse(model$call$data)
if (!model_class) {
cat("Hmmm.. Looks like you have specified an incorrect model. The below steps might be helpful:
* Check if you have used the", "glm()", "function to build the model.
* If you have never used it before, you can learn more by typing", "?glm", "or", "help(glm)", "in the Console.\n\n",
"Please specify the model in the below format:\n\n",
"glm(", fmla, ", data = ", data, ", family = binomial(link = 'logit'))\n\n",
"Happy modeling :)\n")
stop("", call. = FALSE)
}
if (!model_family) {
cat("The error distribution is not", "binomial", ". Please specify the error distribution using the", "family", "argument in", "glm()", ".\n",
"Please specify the model in the below format:",
"glm(", fmla, ", data = ", data, ", family = binomial(link = 'logit')",
"Happy modeling :)\n")
}
}
blr_check_data <- function(data) {
df <- is.data.frame(data)
data_class <- class(data)
data_name <- deparse(substitute(data))
if (!df) {
cat(data_name, "must either be a", "data.frame", "or a", "tibble", "but you have used a", data_class, "vector. Use the", "class()", "function to check the type of", data_name, " as shown below:\n\n", paste0("class(", data_name, ")"), "\n\n If", data_name, "is a column in a data set, use the name of the data set as the input.", "\n\n Type", "?data.frame", "or", "?tibble", "to learn how to create and use them.\n")
stop("", call. = FALSE)
}
}
blr_check_logic <- function(logic) {
lval <- is.logical(logic)
logic_class <- class(logic)
logic_name <- deparse(substitute(logic))
if (!lval) {
cat("\n *", logic_name, "can take only 2 values, either", "TRUE", "or", "FALSE", "\n * You have used", logic, "\n * Replace", logic, "with either", "TRUE", "or", "FALSE", "\n\n")
stop("", call. = FALSE)
}
}
blr_check_values <- function(value, lower, upper) {
valid <- (value >= lower & value <= upper)
value_class <- class(value)
value_name <- deparse(substitute(value))
if (!valid) {
cat("\n")
cat(value_name, "can take on values between", lower , "and", upper, "only.", "You have used", value, ",", "please specify a value between", lower , "and", upper, "only.", "\n\n")
stop("", call. = FALSE)
}
}
blr_check_npredictors <- function(model, min) {
n <- length(coefficients(model))
if (n < min) {
cat("\n")
cat("Hello there.. the model contains only one predictor. For stepwise selection, please specify a model with at least 2 predictors. \n\n")
stop("", call. = FALSE)
}
}
blr_check_gtable <- function(table) {
gclass <- class(table) == "blr_gains_table"
table_name <- deparse(substitute(table))
table_class <- class(table)
if (!gclass) {
cat(table_name, "is not the correct input. Use", "blr_gains_table()", "to create the input for this function.\n\n", "Type", "?blr_gains_table", "to learn more.\n\n")
stop("", call. = FALSE)
}
}
blr_check_varnames <- function(data, column) {
data_name <- deparse(substitute(data))
resp <- deparse(substitute(column))
k <- resp %in% names(data)
if (!k) {
cat("Uh oh...", resp, "is not a column in", data_name, ". Please check the column names using: \n\n", "* names()", "\n", "* colnames()", "\n\n")
stop("", call. = FALSE)
}
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.