R error: cannot coerce type 'closure' to vector of type 'double'
Change:
sd.norm = sd(sample)/sqrt(n)
to:
sd.norm = sd(the.sample)/sqrt(n)
You are trying to use the function sample
(a closure) as a number (double)
r shiny - cannot coerce type 'closure' to vector of type 'double'
Try this:
library(tidyverse)
library(shiny)
df2 <- tibble(years = c(2012,2013,2014,2015))
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
sliderInput("year_range",
"Select Years:",
min = 2012,
max = 2019,
value = c(2012, 2019),
ticks = FALSE)),
mainPanel(tableOutput('table'))
)
)
server <- function(input, output) {
output$table <- renderTable({
filter(df2, years >= input$year_range[1], years <= input$year_range[2])
})
}
shinyApp(ui = ui, server = server)
Error in as.double(y) : cannot coerce type 'closure' to vector of type 'double' when I try to measure the pairwise distances
You should assign the value of the cluster process to c1
and then plot it afterwards:
c1<- rPoissonCluster(5, 0.2, nclust, radius=0.2, n=10)
plot(c1)
The result is a planar point pattern of class ppp
and the plot command is dispatched to plot.ppp
. In your original command you are saving the result of the plot. This plot command returns a function that can be used to make a new plot with the same plotting options (characters, colours, etc.).
Don't understand Cannot Coerce type 'closure' Error
TidySymptoms
data has no id
column in it. Assuming it's a mistake and you have that already in your data you can do the following changes in the function.
- There is no need to pass
df.new
to the function. - The column in
TidySymptoms
is called asword
but you are usingtext
in the function.
Try this code.
minus_TextNum <- function(df){
df.new <- mutate(df, text = gsub(x = word, pattern = "[0-9]+|\\(.*\\)", replacement = "")) %>%
unnest_tokens(input = text, output = word) %>%
filter(!word %in% c(stop_words$word, "patient")) %>%
group_by(id) %>%
summarise(text = paste(word, collapse = " "))
return(new.df)
}
minus_TextNum(TidySymptoms)
Cannot coerce type 'closure' to vector of type list when creating a lag variable by id
Don't use quotes around the column name.
library(data.table)
TandCtable[, RDexp_pre1 := c(NA, RD_expenses[-.N]), by=id]
If you want lag of different offset length it is better to use shift
as suggested by @Waldi instead of appending NA
's.
TandCtable[, RDexp_pre1 := shift(RD_expenses, 2), by=id]
R error: cannot coerce closure to double
Looks like you were just missing some of the parameters, so you confused optim()
about what you were passing into it.
optim(par=c(0),fn=ll, method = 'BFGS')
$`par`
[1] 400
$value
[1] -1581
$counts
function gradient
2 2
$convergence
[1] 0
$message
NULL
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