Rolling mean function similar to pandas in zoo

Question

I want to create a rolling mean of some geochemical data. Currently, I have data for every 1 mm from 0mm to 45.7 mm and I want to average every 10 mm to create 1 cm averages.

This is the data at the moment but it still is not giving me 1 cm averages. Can someone tell me where I am going wrong? Thanks

wapPbTa<-read.csv("wappbta.csv",header=TRUE)

wapPbTa<-wapPbTa[-c(251:458), ] 

library(ggplot2)
library(tidypaleo)
library(zoo)
width <- 10

RM<-rollmean(x = wapPbTa$PbTa, k = width,fill=NA)

##Averaged data

ggplot(wapPbTa, aes(x =RM , y = Depth))+
  labs(y = "Depth (cm)")+
  geom_lineh(size=1)+
  geom_point(size=2)+
  theme_classic()+
  scale_y_reverse()

## Unaveraged data
ggplot(wapPbTa, aes(x =PbTa , y = Depth))+
  labs(y = "Depth (cm)")+
  geom_lineh(size=1)+
  geom_point(size=2)+
  theme_classic()+
  scale_y_reverse()

structure(list(Depth = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 
0.8, 0.9, 1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9), PbTa = c(0.163857678, 
0.161569533, 0.086305592, 0, 0.006086142, 0, 0, 0.044096031, 
0.050739958, 0.088385995, 0.104100946, 0.133012821, 0, 0.127524872, 
0.046368715, 0.02514558, 0.109383676, 0.081979695, 0.0766503, 
0.064679583)), row.names = c(NA, 20L), class = "data.frame")

Answer 1

This type of problems generally has to do with reshaping the data. The format should be the long format and the data is in wide format. See this post on how to reshape the data from wide to long format.

library(ggplot2)
library(dplyr)
library(tidyr)
library(tidypaleo)
library(zoo)

width <- 10
wapPbTa$RM <- rollmeanr(x = wapPbTa$PbTa, k = width, fill = NA)

wapPbTa %>%
  pivot_longer(cols = -Depth) %>%
  ggplot(aes(x = value, y = Depth, colour = name)) +
  geom_lineh(size = 1) +
  geom_point(size = 2) +
  scale_y_reverse() +
  scale_colour_manual(
    breaks = c("PbTa", "RM"),
    values = c("black", "blue")
  ) +
  labs(y = "Depth (cm)") +
  theme_classic()