Publications by Rebecca Luttinen
GIS hw 4
Hw. 4 Author R. Luttinen Published February 28, 2023 Geocoding Part 1. WIC services #open packages #download dataset library(censusxy) library(readr) add<-read.csv("C:/Users/rlutt/OneDrive/Spring 2022/GIS data_wic.csv") #view data head(add) Source Date Obsolescence.Date 1 AtoZDatabases 02/23/2023 08/23/2023 2 AtoZData...
725 sym Python (71016 sym/26 pcs)
Geocoding
Geocoding Part 1. WIC services #open packages #download dataset library(censusxy) library(readr) add<-read.csv("C:/Users/rlutt/OneDrive/Spring 2022/GIS data_wic.csv") #view data head(add) ## Source Date Obsolescence.Date ## 1 AtoZDatabases 02/23/2023 08/23/2023 ## 2 AtoZDatabases 02/23/2023 08/23/2023 ## 3 AtoZ...
425 sym R (75188 sym/26 pcs)
GIS hw 3
HW 3 - Map Projections and Transformations Author R. Luttinen #load packages library(tidycensus, quietly=T) library(sf, quietly=T) Linking to GEOS 3.9.3, GDAL 3.5.2, PROJ 8.2.1; sf_use_s2() is TRUE library(dplyr, quietly=T) Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following o...
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GIS Homework 1
GIS homework 1 Rebecca Luttinen 2023-01-19 rebecca.luttinen@utsa.edu/ rebecca.luttinen@my.utsa.edu ...
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GIS HW 2
GIS HW 2 Author R. Luttinen Map of Median Household Income in Bexar County, TX #load packages library(tidycensus) library(tidyverse) ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ✔ ggplot2 3.4.0 ✔ purrr 0.3....
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Population Pyramids
Age Pyramids Age Pyramids #read in data from CDC wonder library(ggplot2) NM<-read.csv("C:/Users/rlutt/Downloads/New Mexico.csv", header=FALSE) Minn<-read.csv("C:/Users/rlutt/Downloads/Minnesota.csv", header=FALSE) Minn5<-read.csv("C:/Users/rlutt/Downloads/Minnesota 5.csv", header=FALSE) NM5<-read.csv("C:/Users/rlutt/Downloads/New Mexico 5....
194 sym Python (1743 sym/5 pcs) 4 img
Document
Event History- HW 2 Event History Analysis Plan Rebecca Luttinen Carry out the following analysis Kaplan-Meier survival analysis of the outcome Define a grouping variable, this can be dichotomous or categorical. Women who have experienced emotional IPV and women that have not -goal is to create a dichotomous variable for those that have exper...
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Event History Analysis- Parametric Modeling
Event History- HW 3 #read in data from DHS in Uganda 2011 and 2016 and combine into one data-set library(haven) library(knitr) library(tidyverse) ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ✔ ggplot2 3.3.6 ✔ pu...
2073 sym Python (27733 sym/42 pcs) 5 img
Cox Model
Homework 4 Author Rebecca Luttinen Cox Regression Modeling #read in data from DHS in Uganda 2016 library(haven) library(knitr) library(tidyverse) ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ✔ ggplot2 3.3.6 �...
1139 sym Python (102034 sym/49 pcs) 12 img
Discrete time hazard model
HW 5 Author R Luttinen Fit the discrete time hazard model to your outcome You must form a person-period data set Consider both the general model and other time specifications Include all main effects in the model Test for an interaction between at least two of the predictors Generate hazard plots for interesting cases highlighting the signif...
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