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CATEGORIES:Professional Development,Research & Academia
DESCRIPTION:About the series\n\nA Slower Introduction to R is designed for 
 UCSF faculty\, staff\, and students who intend to begin using R in their re
 search. The series is intended to be a (relatively) slow-paced introduction
  to R. It does not assume any prior exposure to R or computer programming. 
 The series has been designed to help learners approach common data-related 
 tasks\, and will draw on data examples from the health sciences (including 
 public health and medicine). \n\nEach session (scheduled for 1.5 hours\, bu
 t we may finish earlier on occasion) will involve short mini lectures\, int
 erspersed with hands-on exercises.\n\nYou are welcome to attend even if you
  unable to attend prior sessions. Please do\, however\, take a look at cont
 ent from the prior sessions to ensure that you are caught up. \n\nRegistrat
 ion for each session requires UCSF MyAccess credentials.\n\nSessions\n\nSes
 sion 1: How can I do math?Session 2: How can I import data?Session 3: How c
 an I perform univariate analysis?Session 4: How can I perform bivariate ana
 lysis?Session 5: How can I make visualizations with ggplot2?Session 6: How 
 can I subset data and define missing values?Session 7: How can I create new
  categorical variables?About the instructor\n\nThe instructor\, Yea-Hung Ch
 en\, PhD\, MS\, has more than 10 years of experience teaching R to the UCSF
  community. He designed and taught UCSF's first-ever R course (Biostat 213)
  and taught the introductory biostatistics course for UCSF's MS in Global H
 ealth program (GHS 207). \n\nAccessibility statement\n\nUCSF welcomes all p
 articipants to our events. If you need a reasonable accommodation to partic
 ipate in this event because of a disability\, please contact Yea-Hung Chen 
 at Yea-hung.Chen@ucsf.edu as soon as possible.
DTEND:20251009T173000Z
DTSTAMP:20260308T182112Z
DTSTART:20251009T160000Z
LOCATION:
SEQUENCE:0
SUMMARY:A Slower Introduction to R
UID:tag:localist.com\,2008:EventInstance_50605872815272
URL:https://calendar.ucsf.edu/event/a-slower-introduction-to-r-6636
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Professional Development,Research & Academia
DESCRIPTION:About the series\n\nA Slower Introduction to R is designed for 
 UCSF faculty\, staff\, and students who intend to begin using R in their re
 search. The series is intended to be a (relatively) slow-paced introduction
  to R. It does not assume any prior exposure to R or computer programming. 
 The series has been designed to help learners approach common data-related 
 tasks\, and will draw on data examples from the health sciences (including 
 public health and medicine). \n\nEach session (scheduled for 1.5 hours\, bu
 t we may finish earlier on occasion) will involve short mini lectures\, int
 erspersed with hands-on exercises.\n\nYou are welcome to attend even if you
  unable to attend prior sessions. Please do\, however\, take a look at cont
 ent from the prior sessions to ensure that you are caught up. \n\nRegistrat
 ion for each session requires UCSF MyAccess credentials.\n\nSessions\n\nSes
 sion 1: How can I do math?Session 2: How can I import data?Session 3: How c
 an I perform univariate analysis?Session 4: How can I perform bivariate ana
 lysis?Session 5: How can I make visualizations with ggplot2?Session 6: How 
 can I subset data and define missing values?Session 7: How can I create new
  categorical variables?About the instructor\n\nThe instructor\, Yea-Hung Ch
 en\, PhD\, MS\, has more than 10 years of experience teaching R to the UCSF
  community. He designed and taught UCSF's first-ever R course (Biostat 213)
  and taught the introductory biostatistics course for UCSF's MS in Global H
 ealth program (GHS 207). \n\nAccessibility statement\n\nUCSF welcomes all p
 articipants to our events. If you need a reasonable accommodation to partic
 ipate in this event because of a disability\, please contact Yea-Hung Chen 
 at Yea-hung.Chen@ucsf.edu as soon as possible.
DTEND:20251016T173000Z
DTSTAMP:20260308T182112Z
DTSTART:20251016T160000Z
LOCATION:
SEQUENCE:0
SUMMARY:A Slower Introduction to R
UID:tag:localist.com\,2008:EventInstance_50605872816297
URL:https://calendar.ucsf.edu/event/a-slower-introduction-to-r-6636
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Professional Development,Research & Academia
DESCRIPTION:About the series\n\nA Slower Introduction to R is designed for 
 UCSF faculty\, staff\, and students who intend to begin using R in their re
 search. The series is intended to be a (relatively) slow-paced introduction
  to R. It does not assume any prior exposure to R or computer programming. 
 The series has been designed to help learners approach common data-related 
 tasks\, and will draw on data examples from the health sciences (including 
 public health and medicine). \n\nEach session (scheduled for 1.5 hours\, bu
 t we may finish earlier on occasion) will involve short mini lectures\, int
 erspersed with hands-on exercises.\n\nYou are welcome to attend even if you
  unable to attend prior sessions. Please do\, however\, take a look at cont
 ent from the prior sessions to ensure that you are caught up. \n\nRegistrat
 ion for each session requires UCSF MyAccess credentials.\n\nSessions\n\nSes
 sion 1: How can I do math?Session 2: How can I import data?Session 3: How c
 an I perform univariate analysis?Session 4: How can I perform bivariate ana
 lysis?Session 5: How can I make visualizations with ggplot2?Session 6: How 
 can I subset data and define missing values?Session 7: How can I create new
  categorical variables?About the instructor\n\nThe instructor\, Yea-Hung Ch
 en\, PhD\, MS\, has more than 10 years of experience teaching R to the UCSF
  community. He designed and taught UCSF's first-ever R course (Biostat 213)
  and taught the introductory biostatistics course for UCSF's MS in Global H
 ealth program (GHS 207). \n\nAccessibility statement\n\nUCSF welcomes all p
 articipants to our events. If you need a reasonable accommodation to partic
 ipate in this event because of a disability\, please contact Yea-Hung Chen 
 at Yea-hung.Chen@ucsf.edu as soon as possible.
DTEND:20251023T173000Z
DTSTAMP:20260308T182112Z
DTSTART:20251023T160000Z
LOCATION:
SEQUENCE:0
SUMMARY:A Slower Introduction to R
UID:tag:localist.com\,2008:EventInstance_50605872817322
URL:https://calendar.ucsf.edu/event/a-slower-introduction-to-r-6636
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Professional Development,Research & Academia
DESCRIPTION:About the series\n\nA Slower Introduction to R is designed for 
 UCSF faculty\, staff\, and students who intend to begin using R in their re
 search. The series is intended to be a (relatively) slow-paced introduction
  to R. It does not assume any prior exposure to R or computer programming. 
 The series has been designed to help learners approach common data-related 
 tasks\, and will draw on data examples from the health sciences (including 
 public health and medicine). \n\nEach session (scheduled for 1.5 hours\, bu
 t we may finish earlier on occasion) will involve short mini lectures\, int
 erspersed with hands-on exercises.\n\nYou are welcome to attend even if you
  unable to attend prior sessions. Please do\, however\, take a look at cont
 ent from the prior sessions to ensure that you are caught up. \n\nRegistrat
 ion for each session requires UCSF MyAccess credentials.\n\nSessions\n\nSes
 sion 1: How can I do math?Session 2: How can I import data?Session 3: How c
 an I perform univariate analysis?Session 4: How can I perform bivariate ana
 lysis?Session 5: How can I make visualizations with ggplot2?Session 6: How 
 can I subset data and define missing values?Session 7: How can I create new
  categorical variables?About the instructor\n\nThe instructor\, Yea-Hung Ch
 en\, PhD\, MS\, has more than 10 years of experience teaching R to the UCSF
  community. He designed and taught UCSF's first-ever R course (Biostat 213)
  and taught the introductory biostatistics course for UCSF's MS in Global H
 ealth program (GHS 207). \n\nAccessibility statement\n\nUCSF welcomes all p
 articipants to our events. If you need a reasonable accommodation to partic
 ipate in this event because of a disability\, please contact Yea-Hung Chen 
 at Yea-hung.Chen@ucsf.edu as soon as possible.
DTEND:20251030T173000Z
DTSTAMP:20260308T182112Z
DTSTART:20251030T160000Z
LOCATION:
SEQUENCE:0
SUMMARY:A Slower Introduction to R
UID:tag:localist.com\,2008:EventInstance_50605872818347
URL:https://calendar.ucsf.edu/event/a-slower-introduction-to-r-6636
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Professional Development,Research & Academia
DESCRIPTION:About the series\n\nA Slower Introduction to R is designed for 
 UCSF faculty\, staff\, and students who intend to begin using R in their re
 search. The series is intended to be a (relatively) slow-paced introduction
  to R. It does not assume any prior exposure to R or computer programming. 
 The series has been designed to help learners approach common data-related 
 tasks\, and will draw on data examples from the health sciences (including 
 public health and medicine). \n\nEach session (scheduled for 1.5 hours\, bu
 t we may finish earlier on occasion) will involve short mini lectures\, int
 erspersed with hands-on exercises.\n\nYou are welcome to attend even if you
  unable to attend prior sessions. Please do\, however\, take a look at cont
 ent from the prior sessions to ensure that you are caught up. \n\nRegistrat
 ion for each session requires UCSF MyAccess credentials.\n\nSessions\n\nSes
 sion 1: How can I do math?Session 2: How can I import data?Session 3: How c
 an I perform univariate analysis?Session 4: How can I perform bivariate ana
 lysis?Session 5: How can I make visualizations with ggplot2?Session 6: How 
 can I subset data and define missing values?Session 7: How can I create new
  categorical variables?About the instructor\n\nThe instructor\, Yea-Hung Ch
 en\, PhD\, MS\, has more than 10 years of experience teaching R to the UCSF
  community. He designed and taught UCSF's first-ever R course (Biostat 213)
  and taught the introductory biostatistics course for UCSF's MS in Global H
 ealth program (GHS 207). \n\nAccessibility statement\n\nUCSF welcomes all p
 articipants to our events. If you need a reasonable accommodation to partic
 ipate in this event because of a disability\, please contact Yea-Hung Chen 
 at Yea-hung.Chen@ucsf.edu as soon as possible.
DTEND:20251106T183000Z
DTSTAMP:20260308T182112Z
DTSTART:20251106T170000Z
LOCATION:
SEQUENCE:0
SUMMARY:A Slower Introduction to R
UID:tag:localist.com\,2008:EventInstance_50605872819372
URL:https://calendar.ucsf.edu/event/a-slower-introduction-to-r-6636
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Professional Development,Research & Academia
DESCRIPTION:About the series\n\nA Slower Introduction to R is designed for 
 UCSF faculty\, staff\, and students who intend to begin using R in their re
 search. The series is intended to be a (relatively) slow-paced introduction
  to R. It does not assume any prior exposure to R or computer programming. 
 The series has been designed to help learners approach common data-related 
 tasks\, and will draw on data examples from the health sciences (including 
 public health and medicine). \n\nEach session (scheduled for 1.5 hours\, bu
 t we may finish earlier on occasion) will involve short mini lectures\, int
 erspersed with hands-on exercises.\n\nYou are welcome to attend even if you
  unable to attend prior sessions. Please do\, however\, take a look at cont
 ent from the prior sessions to ensure that you are caught up. \n\nRegistrat
 ion for each session requires UCSF MyAccess credentials.\n\nSessions\n\nSes
 sion 1: How can I do math?Session 2: How can I import data?Session 3: How c
 an I perform univariate analysis?Session 4: How can I perform bivariate ana
 lysis?Session 5: How can I make visualizations with ggplot2?Session 6: How 
 can I subset data and define missing values?Session 7: How can I create new
  categorical variables?About the instructor\n\nThe instructor\, Yea-Hung Ch
 en\, PhD\, MS\, has more than 10 years of experience teaching R to the UCSF
  community. He designed and taught UCSF's first-ever R course (Biostat 213)
  and taught the introductory biostatistics course for UCSF's MS in Global H
 ealth program (GHS 207). \n\nAccessibility statement\n\nUCSF welcomes all p
 articipants to our events. If you need a reasonable accommodation to partic
 ipate in this event because of a disability\, please contact Yea-Hung Chen 
 at Yea-hung.Chen@ucsf.edu as soon as possible.
DTEND:20251113T183000Z
DTSTAMP:20260308T182112Z
DTSTART:20251113T170000Z
LOCATION:
SEQUENCE:0
SUMMARY:A Slower Introduction to R
UID:tag:localist.com\,2008:EventInstance_50605872821421
URL:https://calendar.ucsf.edu/event/a-slower-introduction-to-r-6636
END:VEVENT
BEGIN:VEVENT
CATEGORIES:Professional Development,Research & Academia
DESCRIPTION:About the series\n\nA Slower Introduction to R is designed for 
 UCSF faculty\, staff\, and students who intend to begin using R in their re
 search. The series is intended to be a (relatively) slow-paced introduction
  to R. It does not assume any prior exposure to R or computer programming. 
 The series has been designed to help learners approach common data-related 
 tasks\, and will draw on data examples from the health sciences (including 
 public health and medicine). \n\nEach session (scheduled for 1.5 hours\, bu
 t we may finish earlier on occasion) will involve short mini lectures\, int
 erspersed with hands-on exercises.\n\nYou are welcome to attend even if you
  unable to attend prior sessions. Please do\, however\, take a look at cont
 ent from the prior sessions to ensure that you are caught up. \n\nRegistrat
 ion for each session requires UCSF MyAccess credentials.\n\nSessions\n\nSes
 sion 1: How can I do math?Session 2: How can I import data?Session 3: How c
 an I perform univariate analysis?Session 4: How can I perform bivariate ana
 lysis?Session 5: How can I make visualizations with ggplot2?Session 6: How 
 can I subset data and define missing values?Session 7: How can I create new
  categorical variables?About the instructor\n\nThe instructor\, Yea-Hung Ch
 en\, PhD\, MS\, has more than 10 years of experience teaching R to the UCSF
  community. He designed and taught UCSF's first-ever R course (Biostat 213)
  and taught the introductory biostatistics course for UCSF's MS in Global H
 ealth program (GHS 207). \n\nAccessibility statement\n\nUCSF welcomes all p
 articipants to our events. If you need a reasonable accommodation to partic
 ipate in this event because of a disability\, please contact Yea-Hung Chen 
 at Yea-hung.Chen@ucsf.edu as soon as possible.
DTEND:20251120T183000Z
DTSTAMP:20260308T182112Z
DTSTART:20251120T170000Z
LOCATION:
SEQUENCE:0
SUMMARY:A Slower Introduction to R
UID:tag:localist.com\,2008:EventInstance_50605872822446
URL:https://calendar.ucsf.edu/event/a-slower-introduction-to-r-6636
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