2021-09-26
Last updated: 2021-09-30
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Knit directory: Test/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | 8cd6144 | cfcforever | 2021-09-29 | Build site. |
| Rmd | 3ebdc7c | cfcforever | 2021-09-28 | some changes |
| html | 6289c69 | cfcforever | 2021-09-28 | Build site. |
| html | f8288b3 | cfcforever | 2021-09-28 | Build site. |
| html | 2846b2e | cfcforever | 2021-09-28 | Build site. |
| html | 08db2ac | cfcforever | 2021-09-27 | Build site. |
| Rmd | 5ff2790 | cfcforever | 2021-09-27 | some changes |
| html | 180545c | cfcforever | 2021-09-27 | Build site. |
| Rmd | a78cc3d | cfcforever | 2021-09-27 | make changes |
load data.json
today = "2021-09-26"
cat("data on:", today, "\n")data on: 2021-09-26 json_data = fromJSON(file = paste0("data/json/", today, "/position.json"))
cat("Total collected positions: ", length(json_data), "\n")Total collected positions: 413097 tagId_seq = unlist(lapply(json_data, function(x){x["tag_id"][[1]]}))
tagId = unique(tagId_seq)
nb_tag = length(tagId)
cat("Tags are: ", tagId, "\n")Tags are: 0db4 2f77 2b9c 19ab 2c57 2f40 0da6 0baf 0d82 2e5b 2c5d 2a51 2f7b 2e55 28d2 2e8d table(tagId_seq)tagId_seq
0baf 0d82 0da6 0db4 19ab 28d2 2a51 2b9c 2c57 2c5d 2e55
458 606 516 122774 25961 508 567 129721 958 338 448
2e5b 2e8d 2f40 2f77 2f7b
429 325 503 128505 480 general analysis
dat <- data.frame(tag = unlist(lapply(json_data, function(x){x["tag_id"][[1]]})),
x = unlist(lapply(json_data, function(x){x["x"][[1]]})),
y = unlist(lapply(json_data, function(x){x["y"][[1]]})),
record_timestamp = unlist(lapply(json_data, function(x){x["record_timestamp"][[1]]})))
dat = dat[order(dat$record_timestamp),]
dat = cbind.data.frame(dat, convert_date(dat$record_timestamp))
dat$x = as.numeric(dat$x)
dat$y = as.numeric(dat$y)
names_tag <- read.table(file = "data/tag_names_20210924.txt", header = T, sep = "\t")
names_tag = names_tag[names_tag$id%in%tagId, ]
tagId = names_tag$id
nb_tag = length(tagId)
dat = dat[dat$tag%in%tagId,]
dat$label = factor(dat$tag, levels = names_tag$id, labels = names_tag$label)
list_tag <- split(dat, dat$tag)quality of collecting data
table_tag <- data.frame(tag = names_tag$id, label = names_tag$label)
table_tag$first_record = NA
table_tag$last_record = NA
table_tag$number = NA
table_tag$number_NA = NA
table_tag$ratio_non_NA = NA
table_tag$freq_1Q = NA
table_tag$freq_median = NA
table_tag$freq_3Q = NA
for (k in 1:nb_tag){
tag = table_tag$tag[k]
temp = list_tag[tag][[1]]
temp$diff_ts = c(0, temp$record_timestamp[-1]-temp$record_timestamp[-nrow(temp)])
table_tag$first_record[k] = head(as.character(temp$date),1)
table_tag$last_record[k] = tail(as.character(temp$date),1)
table_tag$number[k] = nrow(temp)
table_tag$number_NA[k] = sum(is.na(temp$x))
table_tag$ratio_non_NA[k] = round(1-table_tag$number_NA[k]/table_tag$number[k],2)
table_tag$freq_1Q[k] = round(quantile(temp$diff_ts, 0.25), 3)
table_tag$freq_median[k] = round(quantile(temp$diff_ts, 0.5), 3)
table_tag$freq_3Q[k] = round(quantile(temp$diff_ts, 0.75), 3)
}
kable(table_tag) %>%
kable_styling(bootstrap_options = "striped", full_width = F)| tag | label | first_record | last_record | number | number_NA | ratio_non_NA | freq_1Q | freq_median | freq_3Q |
|---|---|---|---|---|---|---|---|---|---|
| 2a51 | BLA | 2021-09-26 00:00:13 | 2021-09-26 07:12:12 | 567 | 3 | 0.99 | 59.752 | 59.998 | 60.003 |
| 0da6 | BRA1 | 2021-09-26 00:00:42 | 2021-09-26 07:12:47 | 516 | 19 | 0.96 | 59.950 | 59.998 | 60.002 |
| 2f7b | BRA2 | 2021-09-26 00:00:01 | 2021-09-26 07:12:04 | 480 | 21 | 0.96 | 59.950 | 59.999 | 60.008 |
| 2f40 | BRA4 | 2021-09-26 00:00:02 | 2021-09-26 07:12:49 | 503 | 4 | 0.99 | 59.953 | 59.999 | 60.002 |
| 2f77 | BRP1 | 2021-09-26 00:00:00 | 2021-09-26 07:25:20 | 128505 | 6729 | 0.95 | 0.198 | 0.200 | 0.202 |
| 2b9c | BRP2 | 2021-09-26 00:00:00 | 2021-09-26 07:24:37 | 129721 | 154 | 1.00 | 0.199 | 0.200 | 0.201 |
| 0d82 | CDS1 | 2021-09-26 00:01:33 | 2021-09-26 07:12:43 | 606 | 8 | 0.99 | 0.251 | 59.986 | 60.002 |
| 2c57 | DYN1 | 2021-09-26 00:00:44 | 2021-09-26 07:13:07 | 958 | 83 | 0.91 | 0.198 | 0.252 | 59.999 |
| 2e8d | DYN3 | 2021-09-26 01:41:36 | 2021-09-26 06:41:38 | 325 | 7 | 0.98 | 0.197 | 0.202 | 0.298 |
| 0baf | ELC | 2021-09-26 00:00:22 | 2021-09-26 07:12:43 | 458 | 1 | 1.00 | 59.996 | 60.000 | 60.002 |
| 0db4 | FAU | 2021-09-26 00:00:00 | 2021-09-26 07:26:57 | 122774 | 34891 | 0.72 | 0.197 | 0.200 | 0.202 |
| 28d2 | ORD | 2021-09-26 00:00:41 | 2021-09-26 07:12:01 | 508 | 25 | 0.95 | 59.949 | 59.999 | 60.003 |
| 2e55 | SCO | 2021-09-26 00:00:13 | 2021-09-26 07:12:02 | 448 | 4 | 0.99 | 59.951 | 60.000 | 60.047 |
plot with NAs
timestamp_breaks = as.numeric(as.POSIXct(paste0(today, " ", sprintf("%02d", 0:23), ":00:00 CEST"))) + 3600*6
p <- ggplot(dat) + theme_bw() +
geom_point(aes(x=record_timestamp, y=label, col=label)) +
scale_x_continuous(breaks = timestamp_breaks, labels = 0:23) +
coord_cartesian(xlim = c(timestamp_breaks[1], timestamp_breaks[23]+3600)) +
theme(legend.position = "None") +
labs(x = "hour", y = "", title = today)
print(p)
| Version | Author | Date |
|---|---|---|
| 8cd6144 | cfcforever | 2021-09-29 |
plot without NAs
x_na = which(is.na(dat$x))
y_na = which(is.na(dat$y))
cat("if x_na = y_na:", identical(x_na, y_na), "\n")if x_na = y_na: TRUE cat("number of NA positions:", length(x_na), "/", length(tagId_seq), "(=",
length(x_na)/length(tagId_seq)*100, "%)", "\n")number of NA positions: 41949 / 413097 (= 10.15476 %) if (length(x_na)!=0){
dat = dat[-x_na,]
}timestamp_breaks = as.numeric(as.POSIXct(paste0(today, " ", sprintf("%02d", 0:23), ":00:00 CEST"))) + 3600*6
p <- ggplot(dat) + theme_bw() +
geom_point(aes(x=record_timestamp, y=label, col=label)) +
scale_x_continuous(breaks = timestamp_breaks, labels = 0:23) +
coord_cartesian(xlim = c(timestamp_breaks[1], timestamp_breaks[23]+3600)) +
theme(legend.position = "None") +
labs(x = "hour", y = "", title = today)
print(p)
| Version | Author | Date |
|---|---|---|
| 8cd6144 | cfcforever | 2021-09-29 |
list_tag <- split(dat, dat$tag)
for (tag in names(list_tag)){
if (!is.null(list_tag[tag][[1]])){
dd = list_tag[tag][[1]]
dd[,c("x","y")] = dd[,c("x","y")]/100
rownames(dd) = 1:nrow(dd)
dd$num = 1:nrow(dd)
dd$timediff = c(0, dd$record_timestamp[-1] - dd$record_timestamp[-nrow(dd)])
list_tag[tag][[1]] = dd
}
}
dat = do.call(rbind.data.frame, list_tag)plot
plan <- read_excel("data/plan/Wall_lignes_firminy.xlsx")
plan = as.data.frame(plan)
plan$`Start X` <- as.numeric(plan$`Start X`)/100
plan$`Start Y` <- as.numeric(plan$`Start Y`)/100
plan$`End X` <- as.numeric(plan$`End X`)/100
plan$`End Y` <- as.numeric(plan$`End Y`)/100
colnames(plan) = c("Name", "Length", "Linetype Scale", "Angle", "Delta X",
"Delta Y", "Delta Z", "EndX", "EndY", "EndZ",
"StartX", "StartY", "StartZ")
p <- ggplot(plan) + theme_bw() +
geom_segment(aes(x=StartX, y=StartY, xend=EndX, yend=EndY))for (k in 1:nb_tag){
tag = names_tag$id[k]
label = names_tag$label[k]
cat("\n")
cat("## ", label, "\n")
dd = list_tag[tag][[1]]
q <- p +
geom_point(data = dd, aes(x=x,y=y), col="red", size = 1) +
coord_equal(ratio = 1, xlim = c(-35,5), ylim = c(-60,5)) +
labs(x = "", y = "", title = paste0(tag, " - ", names_tag$Matériel[names_tag$id==tag]))
print(q)
cat("\n")
}
SCO
| Version | Author | Date |
|---|---|---|
| 8cd6144 | cfcforever | 2021-09-29 |
sessionInfo()R version 4.0.5 (2021-03-31)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] zh_CN.UTF-8/zh_CN.UTF-8/zh_CN.UTF-8/C/zh_CN.UTF-8/zh_CN.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] readxl_1.3.1 lubridate_1.7.10 dplyr_1.0.5 nnet_7.3-15
[5] kableExtra_1.3.4 rjson_0.2.20 cowplot_1.1.1 gganimate_1.0.7
[9] ggplot2_3.3.3 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] progress_1.2.2 tidyselect_1.1.0 xfun_0.22 bslib_0.2.4
[5] purrr_0.3.4 colorspace_2.0-0 vctrs_0.3.7 generics_0.1.0
[9] viridisLite_0.4.0 htmltools_0.5.1.1 yaml_2.2.1 utf8_1.2.1
[13] rlang_0.4.10 jquerylib_0.1.3 later_1.1.0.1 pillar_1.6.0
[17] glue_1.4.2 withr_2.4.1 tweenr_1.0.2 lifecycle_1.0.0
[21] stringr_1.4.0 cellranger_1.1.0 munsell_0.5.0 gtable_0.3.0
[25] rvest_1.0.0 evaluate_0.14 labeling_0.4.2 knitr_1.32
[29] httpuv_1.5.5 fansi_0.4.2 highr_0.8 Rcpp_1.0.6
[33] promises_1.2.0.1 scales_1.1.1 webshot_0.5.2 jsonlite_1.7.2
[37] systemfonts_1.0.1 farver_2.1.0 fs_1.5.0 hms_1.0.0
[41] digest_0.6.27 stringi_1.5.3 grid_4.0.5 rprojroot_2.0.2
[45] tools_4.0.5 magrittr_2.0.1 sass_0.3.1 tibble_3.1.0
[49] crayon_1.4.1 whisker_0.4 pkgconfig_2.0.3 ellipsis_0.3.1
[53] xml2_1.3.2 prettyunits_1.1.1 svglite_2.0.0 rmarkdown_2.10
[57] httr_1.4.2 rstudioapi_0.13 R6_2.5.0 git2r_0.28.0
[61] compiler_4.0.5