A) You are not making reproducible examples. Try out the package "reprex"
to help you recognize when you are forgetting details.
B) I suspect your problem is not understanding formulas. The first thing
that comes to my mind is using a version of the plot function that does
not use formulas for the input data specification. E.g.
graphics::plot(
dataset[[ xvarname ]],
dataset[[ yvarname ]],
xlab = "Dependent",
ylab = "Independent #1"
)
On Wed, 7 Jun 2017, g.maub...@weinwolf.de wrote:
Hi All,
I try to do a scatterplot for a bunch of variables. I plot a dependent
variable against a bunch of independent variables:
-- cut --
graphics::plot(
v01_r01 ~ v08_01_up11,
data = dataset,
xlab = "Dependent",
ylab = "Independent #1"
)
-- cut --
It is tedious to repeat the statement for all independent variables. Found
an alternative, i.e. :
-- cut --
mu <- list(5, 10, -3)
sigma <- list(1, 5, 10)
n <- list(1, 3, 5)
fargs <- list(mean = mu, sd = sigma, n = n)
fargs %>%
purrr::pmap(rnorm) %>%
str()
-- cut --
I tried to use this for may scatterplot task:
-- cut --
var_battery$v08 <- paste0("v08_", formatC(1:8, width = 2, format = "d",
flag = "0"))
v08_var_labs <- paste0("Label_", 1:8)
dataset <- as.data.frame(
matrix(
data = sample(
x = 1:11,
size = 90,
replace = TRUE),
nrow = 10,
ncol = 9))
names(dataset) <- c("v01_r01", var_battery$v08)
independent <- as.list(dataset$v01_r01)
dependent <- as.list(dataset[var_battery$v08])
fargs <- list(
x = independent,
y = dependent,
ylab = v08_var_labs)
fargs %>%
purrr::pmap(
function(d = dataset, xvalue = x, yvalue = y,
xlab = "Label for x variable",
ylab = ylab) {
graphics::plot(
xvalue ~ yvalue,
data = d,
xlab = xlab,
ylab = ylab)
}
)
-- cut --
The last statement comes back with
Error: Element 2 has length 8, not 1 or 10.
How can I get it up n running? Do you suggest a better solution for the
task described?
Kind regards
Georg
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