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Code Issues Releases Wiki Activity

remove progress output from vignette

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This commit is contained in:
noerw 2017-08-23 16:07:05 +02:00
parent 3f46a52b3c
commit c5b6e5d4a1
4 changed files with 32 additions and 501 deletions
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8
inst/doc/osem-intro.R
View file

@ -1,11 +1,13 @@
## ----setup, include=FALSE------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
## ------------------------------------------------------------------------
## ----results = F---------------------------------------------------------
library(magrittr)
library(opensensmapr)
all_sensors = osem_boxes()
## ------------------------------------------------------------------------
summary(all_sensors)
## ----message=F, warning=F------------------------------------------------
@ -22,13 +24,14 @@ str(phenoms)
## ------------------------------------------------------------------------
phenoms[phenoms > 20]
## ------------------------------------------------------------------------
## ----results = F---------------------------------------------------------
pm25_sensors = osem_boxes(
exposure = 'outdoor',
date = Sys.time(), # ±4 hours
phenomenon = 'PM2.5'
)
## ------------------------------------------------------------------------
summary(pm25_sensors)
plot(pm25_sensors)
@ -45,6 +48,7 @@ berlin = st_point(c(13.4034, 52.5120)) %>%
st_transform(4326) %>% # the opensensemap expects WGS 84
st_bbox()
## ----results = F---------------------------------------------------------
pm25 = osem_measurements(
berlin,
phenomenon = 'PM2.5',

14
inst/doc/osem-intro.Rmd
View file

@ -35,11 +35,13 @@ this occurs.
Before we look at actual observations, lets get a grasp of the openSenseMap
datasets' structure.
```{r}
```{r results = F}
library(magrittr)
library(opensensmapr)
all_sensors = osem_boxes()
```
```{r}
summary(all_sensors)
```
@ -86,13 +88,14 @@ We should check how many sensor stations provide useful data: We want only those
boxes with a PM2.5 sensor, that are placed outdoors and are currently submitting
measurements:
```{r}
```{r results = F}
pm25_sensors = osem_boxes(
exposure = 'outdoor',
date = Sys.time(), # ±4 hours
phenomenon = 'PM2.5'
)
```
```{r}
summary(pm25_sensors)
plot(pm25_sensors)
```
@ -117,7 +120,8 @@ berlin = st_point(c(13.4034, 52.5120)) %>%
st_buffer(units::set_units(12, km)) %>%
st_transform(4326) %>% # the opensensemap expects WGS 84
st_bbox()
```
```{r results = F}
pm25 = osem_measurements(
berlin,
phenomenon = 'PM2.5',
@ -136,4 +140,4 @@ pm25_sf = osem_as_sf(pm25)
plot(st_geometry(pm25_sf), axes = T)
```
`TODO`
further analysis: `TODO`

497
inst/doc/osem-intro.html
View file

File diff suppressed because one or more lines are too long

14
vignettes/osem-intro.Rmd
View file

@ -35,11 +35,13 @@ this occurs.
Before we look at actual observations, lets get a grasp of the openSenseMap
datasets' structure.
```{r}
```{r results = F}
library(magrittr)
library(opensensmapr)
all_sensors = osem_boxes()
```
```{r}
summary(all_sensors)
```
@ -86,13 +88,14 @@ We should check how many sensor stations provide useful data: We want only those
boxes with a PM2.5 sensor, that are placed outdoors and are currently submitting
measurements:
```{r}
```{r results = F}
pm25_sensors = osem_boxes(
exposure = 'outdoor',
date = Sys.time(), # ±4 hours
phenomenon = 'PM2.5'
)
```
```{r}
summary(pm25_sensors)
plot(pm25_sensors)
```
@ -117,7 +120,8 @@ berlin = st_point(c(13.4034, 52.5120)) %>%
st_buffer(units::set_units(12, km)) %>%
st_transform(4326) %>% # the opensensemap expects WGS 84
st_bbox()
```
```{r results = F}
pm25 = osem_measurements(
berlin,
phenomenon = 'PM2.5',
@ -136,4 +140,4 @@ pm25_sf = osem_as_sf(pm25)
plot(st_geometry(pm25_sf), axes = T)
```
`TODO`
further analysis: `TODO`