Dear all,

I have difficulties with two tasks:

```
# dataframe
# 0=female
# 1=male
set.seed(1234)
df <- data.frame(
sex=factor(rep(c("0", "1"), each=200)),
weight=round(c(rnorm(200, mean=55, sd=5),
rnorm(200, mean=65, sd=5))),
height=round(c(rnorm(200, mean=160, sd=10),
rnorm(200, mean=170, sd=10)))
)
```

# TASK 1:

Create an ggplot-Object showing the predicted "effect" of two variables included in two separate logistic regression analyses.

```
library(ggplot2)
library(sjPlot)
lm1 <- glm(sex ~ weight, data=df, family="binomial")
lm2 <- glm(sex ~ height, data=df, family="binomial")
# Current version: Plot them next to each other.
p1 <- plot_model(lm1, type="pred", term="weight")
p2 <- plot_model(lm2, type="pred", term="height")
ggarrange(p1,p2)
# Wanted version: Plot them overlapping over each other (potentially without confidence intervals)
```

# TASK 2

Create a nomogram/3-d surface showing the probability of being male by weight and height.

Problem 1: I do not manage to make the "outcome" axis "logarithmic".

Problem 2: I need to set certain limits for the continuous variables. Is there any default? The nomogram-Code does not work currently.

```
library(rms)
lm3 <- rms::Glm(sex ~ weight + height, data=df, family="binomial")
plot(nomogram(lm3, weight=seq(40,100,by=2), height=seq(150,200,by=5), fun=plogis, lp="Prob of being male"))
bplot(Predict(lm3, weight=seq(40,100,by=2), height=seq(150,200,by=5)))
```

Thank you so much!