jamesclient

The goal of jamesclient is to facilitate interaction for R users with the Joint Automatic Measurement and Evaluation System (JAMES). JAMES is an online resource for creating growth charts and analysing growth curves.

Installation

You can install the development version from GitHub with:

install.packages("remotes")
remotes::install_github("growthcharts/jamesclient")

Example

The primary functions are:

Function	Description
james_post	Send POST request to JAMES
james_get	Send GET request to JAMES
inspect_demodata()	Upload demo child data and download parsed file

james_post()

Upload BDS data

library(jamesclient)
fn <- system.file("extdata", "bds_v3.0", "smocc", "Laura_S.json",
                  package = "jamesdemodata", mustWork = TRUE)
host <- "https://james.groeidiagrammen.nl"
r1 <- james_post(host = host, path = "data/upload/json", txt = fn)
r1$parsed
#> $psn
#>   id    name        dob       dobm src    sex gad ga smo   bw hgtm hgtf agem
#> 1 -1 Laura S 1989-01-21 1961-07-22   0 female 276 39   0 2950  164  179   27
#>   etn
#> 1  NL
#> 
#> $xyz
#>      age xname yname zname                   zref      x     y      z
#> 1  0.000   age   hgt hgt_z  nl_1997_hgt_female_nl  0.000 48.00 -1.515
#> 2  0.101   age   hgt hgt_z  nl_1997_hgt_female_nl  0.101 53.50 -0.499
#> 3  0.159   age   hgt hgt_z  nl_1997_hgt_female_nl  0.159 56.00 -0.261
#> 4  0.235   age   hgt hgt_z  nl_1997_hgt_female_nl  0.235 59.50  0.163
#> 5  0.485   age   hgt hgt_z  nl_1997_hgt_female_nl  0.485 65.50 -0.259
#> 6  0.753   age   hgt hgt_z  nl_1997_hgt_female_nl  0.753 71.50  0.131
#> 7  1.021   age   hgt hgt_z  nl_1997_hgt_female_nl  1.021 75.00 -0.180
#> 8  1.251   age   hgt hgt_z  nl_1997_hgt_female_nl  1.251 80.00  0.421
#> 9  1.539   age   hgt hgt_z  nl_1997_hgt_female_nl  1.539 84.00  0.527
#> 10 2.040   age   hgt hgt_z  nl_1997_hgt_female_nl  2.040 90.00  0.670
#> 11 0.000   age   wgt wgt_z  nl_1997_wgt_female_nl  0.000  2.95 -1.055
#> 12 0.101   age   wgt wgt_z  nl_1997_wgt_female_nl  0.101  4.18 -0.162
#> 13 0.159   age   wgt wgt_z  nl_1997_wgt_female_nl  0.159  5.00  0.401
#> 14 0.235   age   wgt wgt_z  nl_1997_wgt_female_nl  0.235  5.90  0.717
#> 15 0.485   age   wgt wgt_z  nl_1997_wgt_female_nl  0.485  8.24  1.173
#> 16 0.753   age   wgt wgt_z  nl_1997_wgt_female_nl  0.753  9.65  1.052
#> 17 1.021   age   wgt wgt_z  nl_1997_wgt_female_nl  1.021 10.95  1.164
#> 18 1.251   age   wgt wgt_z  nl_1997_wgt_female_nl  1.251 11.90  1.247
#> 19 1.539   age   wgt wgt_z  nl_1997_wgt_female_nl  1.539 12.80  1.228
#> 20 2.040   age   wgt wgt_z  nl_1997_wgt_female_nl  2.040 13.90  0.989
#> 21 0.101   age   hdc hdc_z  nl_1997_hdc_female_nl  0.101 37.60  0.418
#> 22 0.159   age   hdc hdc_z  nl_1997_hdc_female_nl  0.159 39.00  0.605
#> 23 0.235   age   hdc hdc_z  nl_1997_hdc_female_nl  0.235 40.50  0.696
#> 24 0.485   age   hdc hdc_z  nl_1997_hdc_female_nl  0.485 44.10  1.021
#> 25 0.753   age   hdc hdc_z  nl_1997_hdc_female_nl  0.753 46.60  1.418
#> 26 1.021   age   hdc hdc_z  nl_1997_hdc_female_nl  1.021 47.80  1.307
#> 27 1.251   age   hdc hdc_z  nl_1997_hdc_female_nl  1.251 48.70  1.373
#> 28 1.539   age   hdc hdc_z  nl_1997_hdc_female_nl  1.539 49.20  1.246
#> 29 2.040   age   hdc hdc_z  nl_1997_hdc_female_nl  2.040 50.00  1.224
#> 30 0.000   age   bmi bmi_z  nl_1997_bmi_female_nl  0.000 12.80  0.259
#> 31 0.101   age   bmi bmi_z  nl_1997_bmi_female_nl  0.101 14.60  0.231
#> 32 0.159   age   bmi bmi_z  nl_1997_bmi_female_nl  0.159 15.94  0.701
#> 33 0.235   age   bmi bmi_z  nl_1997_bmi_female_nl  0.235 16.67  0.734
#> 34 0.485   age   bmi bmi_z  nl_1997_bmi_female_nl  0.485 19.21  1.688
#> 35 0.753   age   bmi bmi_z  nl_1997_bmi_female_nl  0.753 18.88  1.325
#> 36 1.021   age   bmi bmi_z  nl_1997_bmi_female_nl  1.021 19.47  1.780
#> 37 1.251   age   bmi bmi_z  nl_1997_bmi_female_nl  1.251 18.59  1.394
#> 38 1.539   age   bmi bmi_z  nl_1997_bmi_female_nl  1.539 18.14  1.277
#> 39 2.040   age   bmi bmi_z  nl_1997_bmi_female_nl  2.040 17.16  0.825
#> 40 0.101   age   dsc dsc_z  ph_2023_dsc_female_40  0.101 14.79 -0.321
#> 41 0.159   age   dsc dsc_z  ph_2023_dsc_female_40  0.159 16.01 -0.569
#> 42 0.235   age   dsc dsc_z  ph_2023_dsc_female_40  0.235 19.85 -0.337
#> 43 0.485   age   dsc dsc_z  ph_2023_dsc_female_40  0.485 23.93 -1.897
#> 44 0.753   age   dsc dsc_z  ph_2023_dsc_female_40  0.753 40.96 -0.113
#> 45 1.021   age   dsc dsc_z  ph_2023_dsc_female_40  1.021 48.74  0.087
#> 46 1.251   age   dsc dsc_z  ph_2023_dsc_female_40  1.251 52.47 -0.207
#> 47 1.539   age   dsc dsc_z  ph_2023_dsc_female_40  1.539 54.65 -0.913
#> 48 2.040   age   dsc dsc_z  ph_2023_dsc_female_40  2.040 68.34  1.041
#> 49 0.000   hgt   wfh wfh_z nl_1997_wfh_female_nla 48.000  2.95     NA
#> 50 0.101   hgt   wfh wfh_z nl_1997_wfh_female_nla 53.500  4.18  0.215
#> 51 0.159   hgt   wfh wfh_z nl_1997_wfh_female_nla 56.000  5.00  0.764
#> 52 0.235   hgt   wfh wfh_z nl_1997_wfh_female_nla 59.500  5.90  0.744
#> 53 0.485   hgt   wfh wfh_z nl_1997_wfh_female_nla 65.500  8.24  1.728
#> 54 0.753   hgt   wfh wfh_z nl_1997_wfh_female_nla 71.500  9.65  1.342
#> 55 1.021   hgt   wfh wfh_z nl_1997_wfh_female_nla 75.000 10.95  1.726
#> 56 1.251   hgt   wfh wfh_z nl_1997_wfh_female_nla 80.000 11.90  1.379
#> 57 1.539   hgt   wfh wfh_z nl_1997_wfh_female_nla 84.000 12.80  1.242
#> 58 2.040   hgt   wfh wfh_z nl_1997_wfh_female_nla 90.000 13.90  0.820

james_get()

Get output from R console (just for checking)

r2 <- james_get(host = host, path = paste(r1$session, "console", sep = "/"))
cat(r2$parsed, "\n")
#> > upload_data(txt = c("{\"Format\": \"3.0\",\"organisationCode\": 0,\"reference\": \"Laura S\",\"clientDetails\": [{\"bdsNumber\": 19,\"value\": \"2\"},{\"bdsNumber\": 20,\"value\": \"19890121\"},{\"bdsNumber\": 82,\"value\": 276},{\"bdsNumber\": 91,\"value\": \"2\"},{\"bdsNumber\": 110,\"value\": 2950},{\"bdsNumber\": 238,\"value\": 1640},{\"bdsNumber\": 240,\"value\": 1790}],\"clientMeasurements\": [{\"bdsNumber\": 235,\"values\": [{\"date\": \"19890121\",\"value\": 480},{\"date\": \"19890227\",\"value\": 535},{\"date\": \"19890320\",\"value\": 560},{\"date\": \"19890417\",\"value\": 595},{\"date\": \"19890717\",\"value\": 655},{\"date\": \"19891023\",\"value\": 715},{\"date\": \"19900129\",\"value\": 750},{\"date\": \"19900423\",\"value\": 800},{\"date\": \"19900806\",\"value\": 840},{\"date\": \"19910205\",\"value\": 900}]},{\"bdsNumber\": 245,\"values\": [{\"date\": \"19890121\",\"value\": 2950},{\"date\": \"19890227\",\"value\": 4180},{\"date\": \"19890320\",\"value\": 5000},{\"date\": \"19890417\",\"value\": 5900},{\"date\": \"19890717\",\"value\": 8240},{\"date\": \"19891023\",\"value\": 9650},{\"date\": \"19900129\",\"value\": 10950},{\"date\": \"19900423\",\"value\": 11900},{\"date\": \"19900806\",\"value\": 12800},{\"date\": \"19910205\",\"value\": 13900}]},{\"bdsNumber\": 252,\"values\": [{\"date\": \"19890227\",\"value\": 376},{\"date\": \"19890320\",\"value\": 390},{\"date\": \"19890417\",\"value\": 405},{\"date\": \"19890717\",\"value\": 441},{\"date\": \"19891023\",\"value\": 466},{\"date\": \"19900129\",\"value\": 478},{\"date\": \"19900423\",\"value\": 487},{\"date\": \"19900806\",\"value\": 492},{\"date\": \"19910205\",\"value\": 500}]},{\"bdsNumber\": 879,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 881,\"values\": [{\"date\": \"19890227\",\"value\": \"2\"},{\"date\": \"19890320\",\"value\": \"1\"}]},{\"bdsNumber\": 883,\"values\": [{\"date\": \"19890227\",\"value\": \"2\"},{\"date\": \"19890320\",\"value\": \"1\"}]},{\"bdsNumber\": 884,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"},{\"date\": \"19890417\",\"value\": \"1\"}]},{\"bdsNumber\": 885,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"},{\"date\": \"19890417\",\"value\": \"1\"}]},{\"bdsNumber\": 886,\"values\": [{\"date\": \"19890320\",\"value\": \"2\"},{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"3\"}]},{\"bdsNumber\": 887,\"values\": [{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 888,\"values\": [{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 889,\"values\": [{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 890,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"1\"}]},{\"bdsNumber\": 891,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"1\"}]},{\"bdsNumber\": 892,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"3\"}]},{\"bdsNumber\": 893,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"3\"}]},{\"bdsNumber\": 894,\"values\": [{\"date\": \"19891023\",\"value\": \"1\"},{\"date\": \"19900129\",\"value\": \"1\"}]},{\"bdsNumber\": 896,\"values\": [{\"date\": \"19891023\",\"value\": \"1\"},{\"date\": \"19900129\",\"value\": \"1\"}]},{\"bdsNumber\": 897,\"values\": [{\"date\": \"19900129\",\"value\": \"1\"},{\"date\": \"19900423\",\"value\": \"1\"}]},{\"bdsNumber\": 898,\"values\": [{\"date\": \"19900129\",\"value\": \"1\"},{\"date\": \"19900423\",\"value\": \"1\"}]},{\"bdsNumber\": 900,\"values\": [{\"date\": \"19900129\",\"value\": \"3\"},{\"date\": \"19900423\",\"value\": \"3\"}]},{\"bdsNumber\": 902,\"values\": [{\"date\": \"19900423\",\"value\": \"2\"},{\"date\": \"19900806\",\"value\": \"1\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 903,\"values\": [{\"date\": \"19900423\",\"value\": \"2\"},{\"date\": \"19900806\",\"value\": \"2\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 905,\"values\": [{\"date\": \"19900423\",\"value\": \"1\"},{\"date\": \"19900806\",\"value\": \"1\"}]},{\"bdsNumber\": 906,\"values\": [{\"date\": \"19900806\",\"value\": \"2\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 907,\"values\": [{\"date\": \"19900806\",\"value\": \"2\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 909,\"values\": [{\"date\": \"19900806\",\"value\": \"3\"},{\"date\": \"19910205\",\"value\": \"3\"}]},{\"bdsNumber\": 910,\"values\": [{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 912,\"values\": [{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 921,\"values\": [{\"date\": \"19910205\",\"value\": \"3\"}]},{\"bdsNumber\": 927,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 928,\"values\": [{\"date\": \"19890227\",\"value\": \"2\"}]},{\"bdsNumber\": 930,\"values\": [{\"date\": \"19890320\",\"value\": \"3\"},{\"date\": \"19890417\",\"value\": \"3\"}]},{\"bdsNumber\": 932,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"3\"}]},{\"bdsNumber\": 933,\"values\": [{\"date\": \"19891023\",\"value\": \"3\"},{\"date\": \"19900129\",\"value\": \"3\"}]},{\"bdsNumber\": 935,\"values\": [{\"date\": \"19891023\",\"value\": \"2\"},{\"date\": \"19900129\",\"value\": \"3\"}]},{\"bdsNumber\": 936,\"values\": [{\"date\": \"19900129\",\"value\": \"2\"},{\"date\": \"19900423\",\"value\": \"3\"}]},{\"bdsNumber\": 937,\"values\": [{\"date\": \"19900129\",\"value\": \"2\"},{\"date\": \"19900423\",\"value\": \"3\"}]},{\"bdsNumber\": 938,\"values\": [{\"date\": \"19900423\",\"value\": \"3\"},{\"date\": \"19900806\",\"value\": \"3\"}]},{\"bdsNumber\": 940,\"values\": [{\"date\": \"19900806\",\"value\": \"3\"},{\"date\": \"19910205\",\"value\": \"3\"}]},{\"bdsNumber\": 943,\"values\": [{\"date\": \"19910205\",\"value\": \"3\"}]},{\"bdsNumber\": 945,\"values\": [{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 955,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 956,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 958,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 959,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 961,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"},{\"date\": \"19890417\",\"value\": \"1\"}]},{\"bdsNumber\": 962,\"values\": [{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 964,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 966,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"},{\"date\": \"19890417\",\"value\": \"1\"}]},{\"bdsNumber\": 968,\"values\": [{\"date\": \"19890417\",\"value\": \"1\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 969,\"values\": [{\"date\": \"19890417\",\"value\": \"1\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 970,\"values\": [{\"date\": \"19890417\",\"value\": \"1\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 973,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"3\"}]},{\"bdsNumber\": 975,\"values\": [{\"date\": \"19890717\",\"value\": \"1\"},{\"date\": \"19891023\",\"value\": \"1\"}]},{\"bdsNumber\": 976,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"1\"}]},{\"bdsNumber\": 978,\"values\": [{\"date\": \"19891023\",\"value\": \"1\"},{\"date\": \"19900129\",\"value\": \"1\"}]},{\"bdsNumber\": 980,\"values\": [{\"date\": \"19891023\",\"value\": \"3\"},{\"date\": \"19900129\",\"value\": \"3\"}]},{\"bdsNumber\": 982,\"values\": [{\"date\": \"19900129\",\"value\": \"1\"},{\"date\": \"19900423\",\"value\": \"1\"}]},{\"bdsNumber\": 984,\"values\": [{\"date\": \"19900129\",\"value\": \"1\"},{\"date\": \"19900423\",\"value\": \"1\"}]},{\"bdsNumber\": 986,\"values\": [{\"date\": \"19900423\",\"value\": \"1\"},{\"date\": \"19900806\",\"value\": \"1\"}]},{\"bdsNumber\": 989,\"values\": [{\"date\": \"19900423\",\"value\": \"2\"},{\"date\": \"19900806\",\"value\": \"2\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 991,\"values\": [{\"date\": \"19900806\",\"value\": \"1\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 993,\"values\": [{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 1278,\"values\": [{\"date\": \"19891023\",\"value\": \"3\"},{\"date\": \"19900129\",\"value\": \"3\"}]}],\"nestedDetails\": [{\"nestingBdsNumber\": 62,\"nestingCode\": \"02\",\"clientDetails\": [{\"bdsNumber\": 63,\"value\": \"19610722\"}]}]}"))
#> List of length  2 
#> [psn]
#> [xyz]

For other end points, see https://james.groeidiagrammen.nl.

inspect_demodata()

library(jamesclient)
data <- inspect_demodata(name = "Anne_S", "smocc")
data
#> $psn
#>   id   name        dob       dobm dobf src  dnr    sex gad ga smo   bw hgtm
#> 1 -1 Anne S 1989-01-31 1961-08-01 <NA>   0 <NA> female 283 40   0 3300  172
#>   hgtf agem  etn  pc4 blbf blbm eduf edum par
#> 1  183   NA <NA> <NA>   NA   NA   NA   NA  NA
#> 
#> $xyz
#>       age xname yname zname                   zref       x     y      z
#> 1  0.0000   age   hgt hgt_z  nl_1997_hgt_female_nl  0.0000 51.00  0.052
#> 2  0.0986   age   hgt hgt_z  nl_1997_hgt_female_nl  0.0986 54.70  0.145
#> 3  0.1369   age   hgt hgt_z  nl_1997_hgt_female_nl  0.1369 56.00  0.114
#> 4  0.2327   age   hgt hgt_z  nl_1997_hgt_female_nl  0.2327 59.50  0.206
#> 5  0.5010   age   hgt hgt_z  nl_1997_hgt_female_nl  0.5010 68.00  0.661
#> 6  0.7885   age   hgt hgt_z  nl_1997_hgt_female_nl  0.7885 73.00  0.498
#> 7  0.9610   age   hgt hgt_z  nl_1997_hgt_female_nl  0.9610 75.50  0.375
#> 8  1.2485   age   hgt hgt_z  nl_1997_hgt_female_nl  1.2485 80.00  0.434
#> 9  1.5140   age   hgt hgt_z  nl_1997_hgt_female_nl  1.5140 83.50  0.449
#> 10 1.9740   age   hgt hgt_z  nl_1997_hgt_female_nl  1.9740 89.50  0.731
#> 11 0.0000   age   wgt wgt_z  nl_1997_wgt_female_nl  0.0000  3.30 -0.105
#> 12 0.0986   age   wgt wgt_z  nl_1997_wgt_female_nl  0.0986  4.10 -0.280
#> 13 0.1369   age   wgt wgt_z  nl_1997_wgt_female_nl  0.1369  4.52 -0.123
#> 14 0.2327   age   wgt wgt_z  nl_1997_wgt_female_nl  0.2327  5.64  0.350
#> 15 0.5010   age   wgt wgt_z  nl_1997_wgt_female_nl  0.5010  7.95  0.723
#> 16 0.7885   age   wgt wgt_z  nl_1997_wgt_female_nl  0.7885  9.46  0.714
#> 17 0.9610   age   wgt wgt_z  nl_1997_wgt_female_nl  0.9610 10.01  0.552
#> 18 1.2485   age   wgt wgt_z  nl_1997_wgt_female_nl  1.2485 11.35  0.827
#> 19 1.5140   age   wgt wgt_z  nl_1997_wgt_female_nl  1.5140 12.01  0.711
#> 20 1.9740   age   wgt wgt_z  nl_1997_wgt_female_nl  1.9740 13.34  0.747
#> 21 0.0986   age   hdc hdc_z  nl_1997_hdc_female_nl  0.0986 37.60  0.461
#> 22 0.1369   age   hdc hdc_z  nl_1997_hdc_female_nl  0.1369 38.30  0.398
#> 23 0.2327   age   hdc hdc_z  nl_1997_hdc_female_nl  0.2327 40.40  0.655
#> 24 0.5010   age   hdc hdc_z  nl_1997_hdc_female_nl  0.5010 44.40  1.134
#> 25 0.7885   age   hdc hdc_z  nl_1997_hdc_female_nl  0.7885 46.00  0.829
#> 26 0.9610   age   hdc hdc_z  nl_1997_hdc_female_nl  0.9610 47.00  0.929
#> 27 1.2485   age   hdc hdc_z  nl_1997_hdc_female_nl  1.2485 48.00  0.896
#> 28 1.5140   age   hdc hdc_z  nl_1997_hdc_female_nl  1.5140 48.50  0.801
#> 29 1.9740   age   hdc hdc_z  nl_1997_hdc_female_nl  1.9740 50.10  1.354
#> 30 0.0000   age   bmi bmi_z  nl_1997_bmi_female_nl  0.0000 12.69  0.160
#> 31 0.0986   age   bmi bmi_z  nl_1997_bmi_female_nl  0.0986 13.70 -0.476
#> 32 0.1369   age   bmi bmi_z  nl_1997_bmi_female_nl  0.1369 14.41 -0.295
#> 33 0.2327   age   bmi bmi_z  nl_1997_bmi_female_nl  0.2327 15.93  0.214
#> 34 0.5010   age   bmi bmi_z  nl_1997_bmi_female_nl  0.5010 17.19  0.352
#> 35 0.7885   age   bmi bmi_z  nl_1997_bmi_female_nl  0.7885 17.75  0.590
#> 36 0.9610   age   bmi bmi_z  nl_1997_bmi_female_nl  0.9610 17.56  0.514
#> 37 1.2485   age   bmi bmi_z  nl_1997_bmi_female_nl  1.2485 17.73  0.824
#> 38 1.5140   age   bmi bmi_z  nl_1997_bmi_female_nl  1.5140 17.23  0.641
#> 39 1.9740   age   bmi bmi_z  nl_1997_bmi_female_nl  1.9740 16.65  0.436
#> 40 0.0986   age   dsc dsc_z  ph_2023_dsc_female_40  0.0986 14.85 -0.276
#> 41 0.1369   age   dsc dsc_z  ph_2023_dsc_female_40  0.1369 16.04 -0.325
#> 42 0.2327   age   dsc dsc_z  ph_2023_dsc_female_40  0.2327 18.18 -0.778
#> 43 0.5010   age   dsc dsc_z  ph_2023_dsc_female_40  0.5010 28.06 -1.132
#> 44 0.7885   age   dsc dsc_z  ph_2023_dsc_female_40  0.7885 36.28 -1.543
#> 45 0.9610   age   dsc dsc_z  ph_2023_dsc_female_40  0.9610 45.89 -0.300
#> 46 1.2485   age   dsc dsc_z  ph_2023_dsc_female_40  1.2485 54.51  0.382
#> 47 1.5140   age   dsc dsc_z  ph_2023_dsc_female_40  1.5140 59.74  0.598
#> 48 1.9740   age   dsc dsc_z  ph_2023_dsc_female_40  1.9740 63.81 -0.051
#> 49 0.0000   hgt   wfh wfh_z nl_1997_wfh_female_nla 51.0000  3.30 -0.858
#> 50 0.0986   hgt   wfh wfh_z nl_1997_wfh_female_nla 54.7000  4.10 -0.780
#> 51 0.1369   hgt   wfh wfh_z nl_1997_wfh_female_nla 56.0000  4.52 -0.419
#> 52 0.2327   hgt   wfh wfh_z nl_1997_wfh_female_nla 59.5000  5.64  0.215
#> 53 0.5010   hgt   wfh wfh_z nl_1997_wfh_female_nla 68.0000  7.95  0.326
#> 54 0.7885   hgt   wfh wfh_z nl_1997_wfh_female_nla 73.0000  9.46  0.655
#> 55 0.9610   hgt   wfh wfh_z nl_1997_wfh_female_nla 75.5000 10.01  0.584
#> 56 1.2485   hgt   wfh wfh_z nl_1997_wfh_female_nla 80.0000 11.35  0.851
#> 57 1.5140   hgt   wfh wfh_z nl_1997_wfh_female_nla 83.5000 12.01  0.644
#> 58 1.9740   hgt   wfh wfh_z nl_1997_wfh_female_nla 89.5000 13.34  0.464

Some older functions

Everything can be done with james_post() and james_get(). The functions below are not needed anymore, and will be deprecated in the future.

upload_txt()

Upload BDS data and create a tibble on the server:

library(jamesclient)
fn <- file.path(path.package("jamesclient"), "testdata", "client3.json")
r1 <- upload_txt(fn)
browseURL(get_url(r1, "return"))

request_chart()

Make a combined upload and automatic chartcode choice:

r2 <- request_chart(fn, chartcode = "PJAHN27")
browseURL(get_url(r2, "svg"))

Removed functions

Function	Description	Alternative
request_site()	Create personalised site	james_post()
upload_bds()	Upload and parse data	james_post()