Amy Jones is a masters student in research psychology at the University of Manchester. Her research interests are based in psychology and mental health. Focusing on daily fluctuations in cognitive function in Parkinson’s Disorder in her masters dissertation. She used Thematic Analysis in her undergraduate dissertation to look into university support staffs' perceptions of services that support postgraduate student researchers' well-being and mental health.
Future areas of interest include the interaction between alexithymia and self-harm, psychosis and autism.
Download her resumé.
MRes Psychology, 2020-21
University of Manchester
BSc (Hons) Psychology, 2016-20
University of Manchester
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Responsibilities include:
Load packages library(readr) library(dplyr) library(ggplot2) Load dataset by_tag_year <- read_csv("by_tag_year.csv") Inspect dataset head(by_tag_year) ## # A tibble: 6 x 4 ## year tag number year_total ## <dbl> <chr> <dbl> <dbl> ## 1 2008 .
Load packages library(tidyverse) Read yearly_deaths_by_clinic.csv into yearly yearly <- read_csv("yearly_deaths_by_clinic.csv") ## ## ── Column specification ──────────────────────────────────────────────────────── ## cols( ## year = col_double(), ## births = col_double(), ## deaths = col_double(), ## clinic = col_character() ## ) Print out yearly head(yearly) ## # A tibble: 6 x 4 ## year births deaths clinic ## <dbl> <dbl> <dbl> <chr> ## 1 1841 3036 237 clinic 1 ## 2 1842 3287 518 clinic 1 ## 3 1843 3060 274 clinic 1 ## 4 1844 3157 260 clinic 1 ## 5 1845 3492 241 clinic 1 ## 6 1846 4010 459 clinic 1 Adding a new column to yearly with proportion of deaths per no.